bluuebunny/crossref_metadata_2025 huggingface dataset:
ELIoT: enhancing LiFi for next-generation Internet of things
Authors: Linnartz J. P. M. G. , Corrêa C. R. B. , Cunha T. E. B. , Tangdiongga E. , Koonen T. , Deng X. , Wendt M. , Abbo A. A. , Stobbelaar P. J. , Polak P. , Müller M. , Behnke D. , Martínez M. , Vicent S. , Metin T. , Emmelmann M. , Kouhini S. M. , Bober K. L. , Kottke C. , Jungnickel V.
Published: September 2022

Communication for the Internet of things (IoT) currently is predominantly narrowband and cannot always guarantee low latency and high reliability. Future IoT applications such as flexible manufacturing, augmented reality and self-driving vehicles rely on sophisticated real-time processing in the cloud to which mobile IoT devices are connected. High-capacity links that meet the requirements of the upcoming 6G systems cannot easily be provided by the current radio-based communication infrastructure. Light communication, which is also denoted as LiFi, offers huge amounts of spectrum, extra security and low-latency transmission free of interference even in dense reuse settings. We present the current state-of-the-art of LiFi systems and introduce new features needed for future IoT applications. We discuss results from a distributed multiple-input multiple-output topology with a fronthaul using plastic optical fibre. We evaluate seamless mobility between the light access points and also handovers to 5G, besides low-power transmission and integrated positioning. Future LiFi development, implementation and efforts towards standardization are addressed in the EU ELIoT project which is presented here.
Beyond 100 Gbit/s Pipeline Decoders for Spatially Coupled LDPC Codes
Authors: Herrmann Matthias , Wehn Norbert
Published: September 2022

Low-density parity-check (LDPC) codes are a well-established class of forward error correction codes that provide excellent error correction performance for large code block sizes. However, for throughputs toward 1 Tbit/s, as expected for B5G systems, state-of-the-art LDPC soft decoders are restricted to short code block sizes of several hundred to thousands of bits due to routing congestion challenges, limiting the overall communications performance of the transmission system. Spatially coupled LDPC (SC-LDPC) codes and respective sliding window decoding methods show the potential to overcome these block size restrictions. However, in contrast to conventional LDPC codes little literature exists on the efficient hardware implementation of respective high-throughput decoders. In this work, we present the first in-depth investigation on the implementation of SC-LDPC decoders for throughputs beyond 100 Gbit/s. For an $$N=51328$$

N
=
51328

, $$R=0.8$$

R
=
0.8

terminated SC-LDPC code with sub-block size $$c=640$$

c
=
640

and coupling width $$m_s=1$$

m
s

=
1

, we explore various design trade-offs, including row- and column-wise decoding, non-overlapping and overlapping window scheduling, and processor pipelining. To the best of our knowledge, this is the first description of a column-wise SC-LDPC decoding architecture in the literature. We complement the algorithmic investigation with the virtual silicon implementation of all presented decoders in a 22nm FD-SOI technology.
A beam broadening method for phased arrays in wireless communications
Authors: Fonteneau Corentin , Crussière Matthieu , Jahan Bruno
Published: September 2022

5G and IEEE 802.11ay introduce the use of the millimeter band as one promising solution to provide broadband wireless communication at multi-Gb/s user data rate. Due to the severe path-loss at such frequencies, it is generally assumed that large antenna arrays are used at the base station to steer narrow beams and build highly directional communication links towards the terminal points. However, broader and less directional beams are also of high interest in some of the steps involved in the establishment or the maintenance of the communication links . Indeed, search of a large area by narrow beams becomes too time consuming and link outage becomes more critical, thus affecting the latency and the robustness of the communications. A method enabling an adaptation of the beam widths is then worthwhile to consider. In this article, we investigate how narrow beams naturally produced by large antenna arrays can be broadened to adapt the beam width to a desired angular sector. We consider that the multi-antenna processing is performed by phase shifters on the radio-frequency stage since fully digital beamforming is hardly feasible in practice at such high frequencies. The main idea of our systematic phase-only beam broadening technique relies on the determination of a quadratic phase excitation law from a desired beam width and steering angle. We first lead a thorough analysis of the radiation behavior regarding the coefficients of such quadratic excitation. We then propose a calculation method for determining the polynomial coefficients as a function of the desired beam width and steering angle. This non-iterative beam broadening method is described for boresight and non-boresight directions and is intended for discrete antenna arrays.
Correction: Slow recruitment in the HIMALAIA study: lessons for future clinical trials in patients with delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage based on feasibility data
Authors: Gathier Celine S. , van der Jagt Mathieu , van den Bergh Walter M. , Dankbaar Jan Willem , Rinkel Gabriel J. E. , Slooter Arjen J. C. ,   for the HIMALAIA Study Group, Algra Ale , Dankbaar Jan-Willem , Gathier Celine S. , Kesecioglu Jozef , Rinkel Gabriel J. E. , van der Schaaf Irene C. , Slooter Arjen J. C. , Verweij Bon H. , Dammers Ruben , Dippel Diederik W. J. , Dirven Clemens M. F. , van der Jagt Mathieu , van Kooten Fop , van der Lugt Aad , van den Bergh Walter M. , Coert Bert A. , Müller Marcella C. , Vandertop W. Peter , Beute Guus N. , Oldenbeuving Annemarie W. , van der Pol Bram , Roks Gerwin , van Rooij Willem Jan J. , Sluzewski Menno
Published: September 2022

An amendment to this paper has been published and can be accessed via the original article.
A log linear Poisson autoregressive model to understand COVID-19 dynamics in Saudi Arabia
Authors: Alzahrani Salem Mubarak
Published: September 2022

Background

On March 2, 2020, the first case of COVID-19 infection in Saudi Arabia was identified and announced by the health authorities. From first week of March, the number of new confirmed COVID-cases has gradually increased, reaching 2932 confirmed cases on April 9, 2020. A period of increasing infection cases was noticed in June and July 2020. Many methods have been taken to model and predict the new confirmed cases of COVID-19, such as the traditional time series forecasting method and other several methods.

Results

We present two statistical models, namely the log linear autoregressive Poisson model and the ARIMA model. The COVID-19 infectious dynamics were evaluated using models in Saudi Arabia, which can affect health, economics, finance, and other fields. We applied both models to daily confirmed cases of COVID-19 count time series data. Moreover, we compare the log linear Poisson autoregressive model with the automatic ARIMA model.

Conclusions

The result of this study showed that a log linear Poisson Autoregressive model gives better forecasting and the predicted results of the log linear Poisson Autoregressive model can be used as the baseline for additional interference to avoid future COVID-19 pandemic incidents. Moreover, the application of a log linear Poisson Autoregressive can be comprehensive to other cases in Saudi Arabia.
Pancreatic Adenocarcinoma Management
Authors: Jiang Yan , Sohal Davendra P.S.
Published: September 2022

The management of pancreatic ductal adenocarcinoma (PDAC) has evolved over the last two decades. Surgical resection remain the only potential cure for this cancer. Therefore, there is an emerging emphasis on neoadjuvant therapy to maximize the probability of resection, and identify failures early. The benefit of FOLFIRINOX in various clinical stages of PDAC have been practice changing. The addition of nab-paclitaxel to the traditional gemcitabine regimen added another option for treatment. In addition, immunotherapy and targeted therapies are applicable, based on molecular features and germline alterations; albeit, these are applicable to only a small minority of patients. In this review article, we discuss the key extant literature relevant to various stages of pancreatic cancer. We also summarize ongoing clinical trials which may guide future treatments.
Effects of Goal-Directed Hemodynamic Therapy Using a Noninvasive Finger-Cuff Monitoring Device on Intraoperative Cerebral Oxygenation and Early Delayed Neurocognitive Recovery in Patients Undergoing Beach Chair Position Shoulder Surgery: A Randomized Controlled Trial
Authors: Lee Chen-Tse , Lin Chih-Peng , Chan Kuang-Cheng , Wu Yi-Luen , Teng Hsiao-Chun , Wu Chun-Yu
Published: September 2022

BACKGROUND:

Perioperative cerebral desaturation events (CDEs) and delayed neurocognitive recovery are common among patients undergoing beach chair position (BCP) shoulder surgery and may be caused by cerebral hypoperfusion. This study tested the hypothesis that the application of goal-directed hemodynamic therapy (GDHT) would attenuate these conditions.

METHODS:

We randomly assigned 70 adult patients undergoing BCP shoulder surgery to GDHT group or control at a 1:1 ratio. Cerebral oxygenation was monitored using near-infrared spectroscopy, and GDHT was administered using the ClearSight pulse wave analysis system. The primary outcome was CDE duration, whereas the secondary outcomes were CDE occurrence, delayed neurocognitive recovery occurrence, and Taiwanese version of the Quick Mild Cognitive Impairment (Qmci-TW) test score on the first postoperative day (T2) adjusted for the baseline score (on the day before surgery; T1).

RESULTS:

CDE duration was significantly shorter in the GDHT group (0 [0–0] vs 15 [0–75] min; median difference [95% confidence interval], −8 [−15 to 0] min; P = .007). Compared with the control group, fewer patients in the GDHT group experienced CDEs (23% vs 51%; relative risk [95% confidence interval], 0.44 [0.22–0.89]; P = .025) and mild delayed neurocognitive recovery (17% vs 40%; relative risk [95% confidence interval], 0.60 [0.39–0.93]; P = .034). The Qmci-TW scores at T2 adjusted for the baseline scores at T1 were significantly higher in the GDHT group (difference in means: 4 [0–8]; P = .033).

CONCLUSIONS:

Implementing GDHT using a noninvasive finger-cuff monitoring device stabilizes intraoperative cerebral oxygenation and is associated with improved early postoperative cognitive scores in patients undergoing BCP shoulder surgery.
Social Spending and Educational Gaps in Infant Health in the United States, 1998–2017
Authors: Jackson Margot I. , Rauscher Emily , Burns Ailish
Published: September 2022

Recent expansions of child tax, food assistance, and health insurance programs have made American families’ need for a robust social safety net highly evident, while researchers and policymakers continue to debate the best way to support families via the welfare state. How much do children—and which children—benefit from social spending? Using the State-by-State Spending on Kids Dataset, linked to National Vital Statistics System birth data from 1998 to 2017, we examine how state-level child spending affects infant health across maternal education groups. We find that social spending has benefits for both low birth weight and preterm birth rates, especially among babies born to mothers with less than a high school education. The stronger benefits of social spending among lower educated families lead to meaningful declines in educational gaps in infant health as social spending increases. Our findings are consistent with the idea that a strong local welfare state benefits infant health and increases equality of opportunity, and that spending on nonhealth programs is equally beneficial for infant health as investments in health programs.
Occurrence, Risk Factors, and Consequences of Postoperative Ischemia After Glioma Resection: A Retrospective Study
Authors: van der Boog Arthur T. J. , Rados Matea , Akkermans Annemarie , Dankbaar Jan Willem , Kizilates Ufuk , Snijders Tom J. , Hendrikse Jeroen , Verhoeff Joost J. C. , Hoff Reinier G. , Robe Pierre A.
Published: September 2022

BACKGROUND:

Postoperative ischemia can lead to neurological deficits and is a known complication of glioma resection. There is inconsistency in documented incidence of ischemia after glioma resection, and the precise cause of ischemia is often unknown.

OBJECTIVE:

To assess the incidence of postoperative ischemia and neurological deficits after glioma resection and to evaluate their association with potential risk factors.

METHODS:

One hundred thirty-nine patients with 144 surgeries between January 2012 and September 2014 for World Health Organization (WHO) 2016 grade II-IV diffuse supratentorial gliomas with postoperative MRI within 72 hours were retrospectively included. Patient, tumor, and perioperative data were extracted from the electronic patient records. Occurrence of postoperative confluent ischemia, defined as new confluent areas of diffusion restriction, and new or worsened neurological deficits were analyzed univariably and multivariably using logistic regression models.

RESULTS:

Postoperative confluent ischemia was found in 64.6% of the cases. Occurrence of confluent ischemia was associated with an insular location (P = .042) and intraoperative administration of vasopressors (P = .024) in multivariable analysis. Glioma location in the temporal lobe was related to an absence of confluent ischemia (P = .01). Any new or worsened neurological deficits occurred in 30.6% and 20.9% at discharge from the hospital and at first follow-up, respectively. Occurrence of ischemia was significantly associated with the presence of novel neurological deficits at discharge (P = .013) and after 3 months (P = .024).

CONCLUSION:

Postoperative ischemia and neurological deficit were significantly correlated. Intraoperative administration of vasopressors, insular glioma involvement, and absence of temporal lobe involvement were significantly associated with postoperative ischemia.
Content of the Educational Process in the Pedagogical Class As a Factor in the Graduates’ Choice of a Professional Trajectory
Authors: Ponomareva T. , Chukaev O. , Lykova A.
Published: September 2022

The article reflects the results of a study of factors influencing the professional trajectory of graduates of pedagogical classes. One of the external factors is the content of education, since it has serious motivating capabilities, stimulating interest in the teaching profession. The article defines the structure of the expert list for assessing the completeness of the content of work programs (in terms of orientation to the teaching profession) and the range of pedagogical technologies used in the educational process. The problematic points of the analyzed work programs of pedagogical classes from 10 regions of the Russian Federation are indicated. Based on a number of conceptual ideas and normative documents, a draft work program is presented, the content of which stimulates the choice of a professional path by graduates of pedagogical classes associated with pedagogical activity. The results of the study make it possible to identify the vectors for improving the quality of the content of education as a factor in choosing a professional trajectory for students in the teaching class.
EDUCAÇÃO MATEMÁTICA E TECNOLOGIAS: ENFOQUES TEÓRICOS-METODOLÓGICOS NA CULTURA DIGITAL
Authors: Oliveira Carloney Alves de
Published: September 2022

É com orgulho e admiração pela ReDoC, que apresentamos este editorial intitulado “Educação Matemática e Tecnologias: enfoques teóricos-metodológicos na cultura digital”. Justifica-se  a  escolha  do tema  para  este  número  temático,  o desafio  de  refletir  sobre  a  importância  da Educação Matemática  no  cenário  das Tecnologias  nos  processos  de  ensino  e  de aprendizagem, que nos remete a compreender sobre as possibilidades e potencialidades que esse binário possui para produzir significados nestes espaços, dentro e fora da escola, para  a  reorganização  do  pensamento  matemático  relativo  às  mudanças  curriculares, buscando encarar desafios, numa construção coletiva de conhecimento científico. Os artigos que compõem este número temático proporcionaram espaços para a construção do saber ao processo de ensino e de aprendizagem, a fim de que os sujeitos envolvidos pudessem construir conceitos matemáticos, e produzirem significados nas suas aulas, buscando ressaltar os valores e atitudes de um profissional crítico-reflexivo.
Paediatric forearm fractures: assessment and initial management
Authors: Kyriakides Jonathon , Peeters Wouter , Ahluwalia Aashish K , Elvey Michael
Published: September 2022

The forearm is the most common site of fracture in children. At the time of initial assessment, a thorough examination and neurovascular assessment of the limb is necessary. X-rays allow evaluation of the fracture location and type, in addition to the degree of displacement. With the help of intranasal opiates, manipulation of fracture fragments can be performed in the emergency department. Immobilisation in plaster is the gold standard treatment for paediatric forearm fractures where the degree of displacement is within acceptable parameters. Manipulation and casting should be followed by orthogonal radiographs and a repeated neurovascular assessment of the limb. Oral analgesia and safety netting information should be provided on discharge and the child should be reviewed in fracture clinic within a week of the injury. This article reviews the British Orthopaedic Association Standards for Trauma and Orthopaedics for the early management of paediatric forearm fractures that do not require operative management.
Are cyber security breaches unavoidable?
Authors: O'Rourke Paul
Published: September 2022

The increased likelihood of a security breach is a natural consequence of the widespread availability of an organisation's IT systems and data via digital and mobile technologies. Criminals look for the weakest link in the chain of security, whether it be through applications, an increased number of portal entry points, or an employee who is unaware of the potential danger. So are we at the point where a breach is inevitable?
Synovial sepsis in neonatal foals
Authors: Easton-Jones Charlotte , Mackenzie Catriona
Published: September 2022

Synovial sepsis is a commonly encountered condition in neonatal foals that can have important repercussions for a foal's survival and future athletic career. In neonates, infection of the joints is commonly the result of haematogenous spread secondary to systemic sepsis. Septic neonatal foals present several additional challenges because of their age and the frequent occurrence of multi-system disease that needs to be considered when selecting appropriate treatment. This article reviews the diagnosis, pathogenesis and treatment of synovial sepsis in neonates with an emphasis on the additional concerns associated with managing foals of this age.
Ancient Schwannoma with Hemorrhagic Degeneration Causing Chronic Intramuscular Hematoma: A Case Report
Authors: Giarraputo Ryan J , Gilbert Grace , Zhu Gord Guo , Gutowski Christina J
Published: September 2022

Introduction: The value of this manuscript is that it highlights a common diagnostic challenge facing orthopedic surgeons, involving the reality that both benign and malignant soft-tissue tumors can present as large cystic masses masquerading as a hematoma. This is the first report of its kind to describe a schwannoma presenting as such a large hematoma in the thigh. Case Presentation: A 64-year-old male presented with 2 days of worsening pain over a left posterior thigh mass that was enlarging for 12 years. Imaging demonstrated a cystic mass. 1.8L of serosanguinous fluid was aspirated and cytology was negative for malignancy, suggesting chronic hematoma. The fluid reaccumulated, indicating surgical management. Histopathology revealed a hemorrhagic ancient schwannoma Conclusion: Without history of trauma or anticoagulation, intramuscular hematoma should be a diagnosis of exclusion. Burden of proof is high to rule-out a neoplastic process masquerading as fluid collection. Biopsies should be taken and schwannoma with ancient change and cystic degeneration should be considered.
Unusual Presentation of Aggressive Hemangioma of Thoracic Vertebrae–A Case Report
Authors: Singh Mahendra , Singh Bhupendar , Singh Amit , Bharwani Nandlal , Bhati Mahesh
Published: September 2022

Introduction: Hemangioma is most common lesion frequently encountered in dorsolumbar region. Although most of these lesions are asymptomatic and are incidental findings on imaging such as computed tomography (CT)-scan and magnetic resonance imaging (MRI). Case Report: A 24-year-old young male presenting to orthopedic outdoor with complaint of severe mid backache and lower limb paraparesis which developed after trivial trauma and increases with daily routine activities such as sitting, standing, and postural changes. For these lesion, “Enneking staging” was used. Conclusion: In such unusual cases, it is very important to differentiate these lesions from vertebral body metastasis, pott’s spine, or aggressive bone tumors to reduce intraoperative or post-operative complications.
Scapula Abscess Secondary to Shoulder Tuberculosis: Case Report with Review of Literature
Authors: Patil (Banshelkikar) Santosh , Tandon Nikhil
Published: September 2022

Introduction: Tuberculosis (TB) of shoulder joint is uncommon. It has an incidence rate of 0.9–1.7%. We report a case of 50 year old man presenting with cold abscess over scapula bone, secondary to the shoulder joint involvement (with sinus tracking to the anterior aspect of shoulder joint). Case Report: A 50-year-old male presented to our hospital with complaints of swelling over right scapular area since 2 months. The patient had similar swelling on the anterior aspect of right shoulder about 4 months back, which drained spontaneously forming a sinus. At presentation, this sinus was healed but patient had a new sinus track in axilla draining pus. This patient also had a history of constitutional symptoms. His investigations were indicative of infective arthritis of the shoulder with humeral head destruction with associated abscess extending along the back and rotator cuff muscles. We treated this patient with incision and drainage of the scapular abscess. Around 100 mL of pus was drained. Furthermore, anterior aspect of shoulder was exposed to debride shoulder joint. Mycobacterium TB was isolated on gene expert and the patient was started on anti- TB treatment regimen (ATT; DOTS- category I). On subsequent follow-up, the patient had complete resolution of symptoms within 4 months. His overall condition improved - his appetite increased and he also gained weight. Conclusion: High degree of suspicion should be kept in mind in diagnosing shoulder TB. Once diagnosed, the prognosis is excellent with appropriate treatment-ATT alone or in combination with surgical debridement.
Long-Term Follow-up in a High-Grade Sarcoma of the Arm Encasing the Radial Nerve Treated by ISP Technique – A Case Report
Authors: Rajan Sreeraj , Hindiskere Suraj , Chinder Pramod S
Published: September 2022

Introduction: A combined technique of In situ preparation (ISP) and adjuvant radiotherapy in a case of undifferentiated pleomorphic sarcoma (UPS) encasing the radial nerve was attempted successfully, which can be considered for the preservation of neurovascular structure close to soft-tissue sarcomas for a good functional and oncological outcome. Case Presentation: A 41-year-old female diagnosed with UPS of the left arm underwent, en bloc excision of the lesion along with the preservation of encased radial nerve using ISP followed by adjuvant radiotherapy. The patient has good functional outcome and a local recurrence free and overall survival of 5 years. Conclusion: We reported a case of UPS encasing the left radial nerve, an ISP technique and adjuvant radiotherapy were successfully attempted for attaining a good functional and oncological outcome.
Carotid bypass surgery for a persistent neck tumor after multiple treatments: a case report
Authors: Lumbantobing Izry Naomi , Mohamad Yunus Mohd Razif , Mat Saad Arman Zaharil
Published: September 2022

Carotid artery involvement in head and neck cancer is challenging for surgeons and oncologists, particularly in recurrence or residual disease following multiple treatments. However, carotid artery resection and reconstruction can be safely performed in a carefully selected patient with local and regional control benefits despite the potential morbidity and high-risk complications. We presented a case of primary laryngeal cancer treated with chemoradiotherapy, modified radical neck dissection type I for residual neck node disease, and further chemotherapy. Although the primary laryngeal cancer showed a complete response, the residual neck tumor was still unresolved and even involved the carotid artery. Therefore, carotid resection with a combined saphenous vein graft and free flap reconstruction was the treatment of choice for this patient. It is effective and safe, and the risk of morbidity has been accepted.
Partially-Coherent Neural Holography with Fast Spatial Light Modulators
Authors: Choi Suyeon , Gopakumar Manu , Peng Yifan , Kim Jonghyun , O’Toole Matthew , Wetzstein Gordon
Published: September 2022

We introduce a flexible computer-generated holography (CGH) framework with fast, MEMS-based, heavily-quantized SLMs. Our framework supports various types of content, from 2D images to 4D light-fields. We demonstrate state-of-the-art results with each content type.
Compressive Sensing Methods for Defending Deep Learning 3D Classifiers
Authors: Kravets Vladislav , Javidi Bahram , Stern Adrian
Published: September 2022

We overview methods for defending deep learning algorithms from adversarial attacks by compressive 3D sensing. With optical compressive sensing, these methods exhibit outstanding robustness to adaptive attacks.
3D image acquisition using COACH and related systems
Authors: Rosen Joseph
Published: September 2022

New techniques of 3D image acquisition using coded aperture correlation holography (COACH) with unique imaging properties are presented. Among other things, COACH is applied for incoherent 3D imaging with an extended depth of field.
High-speed band-limited illumination profilometry (BLIP)
Authors: Jiang Cheng , Liang Jinyang
Published: September 2022

Band-limited illumination profilometry (BLIP) is a reconfigurable phase-shifting fringe projection profilometry modality with a field-of-view of 1.7 m × 1.1 m and at a 3D imaging speed of up to 1200 frames per second.
Detecting COVID-19 from Red Blood Cells Using Digital Holographic Microscopy: an Overview
Authors: O’Connor Timothy , Javidi Bahram
Published: September 2022

We overview our previously reported systems for detection of COVID-19 infection from digital holographic reconstructed red blood cells. The overviewed systems use time-varying information of the samples to classify specimens at the cellular level.
2D Arrays of Random Numbers as Holograms for Optical Data Transmission through Scattering Media in Free Space
Authors: Cao Yonggui , Xiao Yin , Pan Zilan , Chen Wen
Published: September 2022

We present an algorithm to generate 2D arrays of random numbers as digital holograms to be used as optical information carriers to realize high-fidelity optical data transmission through scattering media in free space.
Image Reconstruction for live 3D Multifocus Super-Resolution Microscopy
Authors: Bajor Antone , Hirata-Miyasaki Eduardo , Senftleben Maximilian , Abrahamsson Sara
Published: September 2022

We have designed and constructed a 3D microscope that combines Multifocus Microscopy with Structured Illumination Microscopy for live 3D super-resolution biological imaging. Imaging multiple focal planes simultaneously requires a new approach to image reconstruction.
Enhancement of a spectral resolution through spectral reconstruction in a static modulated Fourier transform spectrometer
Authors: Cho Ju Yong , Ma Hanseul , Jang Won Kweon
Published: September 2022

Spectral reconstruction was performed in a static modulated Fourier transform spectrometer to enhance the spectral resolution. The relationships between an optical path difference, a transfer function, and interferogram were discussed.
The Effect of Aberration Correction on Coherent Raman Imaging of Mouse Brain Tissues
Authors: Kim Seho , Lim Jong Min , Yoon Seokchan , Choi Youngjin , Hong Jin Hee , Choi Wonshik , Cho Minhaeng
Published: September 2022

We observed that coherent Raman imaging signal enhancement by the aberration correction is approximately proportional to the Strehl ratio enhancement, not its third power. The Raman signal originating from out-of-focus planes explains this discrepancy.
Tuning of distance resolution and measurable range of FMCW LiDAR based on frequency mixing
Authors: Kim Nayoung , Jang Hansol , Kim Chang-Seok
Published: September 2022

A frequency modulation continuous wave (FMCW) LiDAR system is studied based on a frequency mixer instead of a Fourier transform. This system can adjust the distance resolution and measurable range as desired without the high-performance of the digital acquisition device.
Michelson Interferometry technique for the Dryness measurement of Saturated Steam
Authors: Chandra Manish , Seshadri Satyanarayanan , Vasa Nilesh J
Published: September 2022

Saturated steam dryness is derived from the refractive index measured using the Michelson Interferometer. For the measurement, the interdependence of the refractive index on wavelength, temperature, pressure, and density is used. The methodology is non-invasive and eliminates the use of multiple sources for dryness measurement.
A UV-Broadband Cavity-Enhanced spectrometer for the sensitive monitoring of BTEX in ambient air
Authors: Pakkattil Anoop , Varma Ravi
Published: September 2022

A UV-IBBCEAS spectrometer to measure the BTEX compounds in the ambient air was developed and characterized. The instrument achieved a detection limit of <5 ppb for a measurement time of 60s. This spectrometer was used to study the emissions from an urban environment, where an elevated level of BTEX was observed near to a gas station.
Single Shot Multispectral Multidimensional Computational Imaging Using Quasi-Random Lenses
Authors: Smith Daniel , Gopinath Shivasubramanian , Ng Soon Hock , Katkus Tomas , Renganathan Dhanalakshmi , Navaneethakrishnan Srinivasan , Juodkazis Saulius , Anand Vijayakumar
Published: September 2022

Quasi-random lenses (QRLs) were fabricated using electron beam lithography and conventional lens grinding to map every object point to a unique random intensity distribution. Multidimensional and multispectral computational imaging has been demonstrated using the QRLs.
Generation of phase hologram from multiple 3D axially overlapping objects without crosstalk
Authors: Velez-Zea Alejandro , Barrera-Ramírez John Fredy
Published: September 2022

We demonstrate the generation of phase holograms of multiple overlapping 3D objects at different axial positions without crosstalk. We introduce a singular value decomposition approach, leading to significant improvements in performance over conventional methods.
Luminescence dynamics in R. subcapitata as a precocious ecotoxicology indicator
Authors: Peixoto Alexandre S L , Santos Samuel R dos , Gallep Cristiano M
Published: September 2022

Standard ecotoxicological tests are compared to delayed-luminescence tests, of algae samples (R. subcapitata), showing that the photonic approach can be as reliable as and more precocious than the standard one, here demonstrated for solutions of Durion. The main drawback is to determine the initial (best) control sample population (~106 cel/mL).
Pytorch Deep learning Approach for Detection of Breast Cancer by Digital Holographic Method
Authors: Thomas Leena , Sheeja MK
Published: September 2022

The digital holographic method performs quantitative analysis of phase images. This interferometric method gives access to biophysical attributes of cells such as refractive index, dry mass, volume, and morphology. Pytorch deep learning library with transfer learning is employed thereby improving the classification accuracy of breast cancer tissues.
Numerical investigation on tomography of multiple elements with single tunable laser
Authors: Choudhury Satwik , Pal Sandip
Published: September 2022

In TDLAS based tomographic techniques, simultaneous detection of more than one element usually requires several DFB-lasers. We shall show by computational simulation that we can well determine the tomographic distribution of more than one element by a single DFB Laser.
Measurement of Angular Goos-Hanchen Shift in Subwavelength Gratings near Surface Plasmon Resonance
Authors: Petrov N. I. , Sokolov Yu. M. , Stoiakin V. V. , Danilov V. A. , Popov V. V. , Usievich B. A.
Published: September 2022

The angular Goos-Hanchen shift in subwavelength gratings is investigated theoretically and experimentally. Splitting of the reflected beam into two angularly separated beams is shown for strongly focused beam incident at the surface plasmon resonance angle.
The Effect of the Range of Dipole Interaction Within a DDA-Style Description of the Scattering of Light by Non-Spherical Aerosol and Hydrosol Particles
Authors: Hefets Ynon , Haspel Carynelisa
Published: September 2022

In order to reduce computational resources, we investigate the effect of limiting the dipole interaction range within a DDA calculation of light scattering. The results indicate that ignoring long-range interaction can be a good approximation.
A Surface Plasmon Resonance drew Biosensor based on U-Shape Photonic Crystal Fiber
Authors: Mittal Shweta , Shrivastava Piyush , Tummuri Ashish , Saharia Ankur , Tiwari Manish
Published: September 2022

This manuscript reporting a unique Surface Plasmon Resonance (SPR) drew biosensor based on Photonic Crystal Fiber (PCF). The designed sensor can be utilized for the sensing of liquid analyte having a refractive index in range 1.40-1.45.The aforesaid sensor is showing wavelength sensitivity of as high as 37000 nm/RIU. The reported device can be a promising device for bio-sensing and chemical detection applications.
Wavefront reconstruction using a damped transpose matrix of the influence function
Authors: Zhang Yuhua , Gu Boyu
Published: September 2022

This research developed a wavefront reconstruction method using a damped transpose matrix of the influence function and experimental results for evaluating the performance of deformable mirrors and adaptive optics retinal imaging systems.
Comparison of Optical Characterization Methods for Transmission Spectroscopy
Authors: Ballester Manuel , Márquez Almudena P. , Banerjee Srutarshi , Ruíz-Pérez Juan J. , Cossairt Oliver , Katsaggelos Aggelos K. , Willomitzer Florian , Márquez Emilio
Published: September 2022

In this investigation, we compare two standard optical characterization methods to analyze the material properties of amorphous silicon thin films obtained from their transmission spectra.
Keeping Pace with Field Detection Challenges for Synthetic Opioids
Authors: Bradley Ashley M. , Melville Angela M. , Mo Kai-For , Saunders Danielle L. , Mobberley Jennifer M. , Heredia-Langner Alejandro , Ozanich Richard M.
Published: September 2022

With the opioid epidemic at an all-time high, new synthetic opioids continue to emerge. To assist first responders in identifying new chemical variants, PNNL is working to expand spectral libraries of field-portable chemical detection instruments.
Optimization of spatial light modulator’s phase response through computer-generated hologram
Authors: Kumar Praveen , Nishchal Naveen K. , Omatsu Takashige , Rao A Srinivasa
Published: September 2022

This paper presents a polarimetric approach to estimate phase response errors of a spatial light modulator and a method to apply corrections through computer-generated holograms that ensures the quality generation of structured beams.
Adaptive optics visual simulation using economic and compact vertical aligned liquid crystal devices
Authors: Paniagua-Diaz Alba M. , Mompeán Juan , Aragón Juan L. , Artal Pablo
Published: September 2022

We demonstrate the potential of Vertical-Aligned Spatial Light Modulators in adaptive-optics visual simulators. The induction and correction of low and high order aberrations was evaluated by testing visual acuity and contrast sensitivity in healthy subjects.
Ptychographic characterization of extreme ultraviolet vortex beams
Authors: Pelekanidis Antonios , Du Mengqi , Liu Xiaomeng , Zhang Fengling , Eikema Kjeld , Witte Stefan
Published: September 2022

We generate multi-wavelength extreme-ultraviolet vortex beams via high-harmonic generation. We characterize the wavefronts of these high orbital angular mo-mentum beams using ptychography.
Physics-Informed Variational Autoencoder for Undersampled Fourier Ptychography
Authors: Hu Yolanda , Olsen Andrew , Funke Jan , Turaga Srinivas , Ganapati Vidya
Published: September 2022

This paper presents an unsupervised deep learning method for complex object reconstruction in severely undersampled Fourier ptychographic microscopy. The method requires no ground truth objects, only a dataset of undersampled measurements.
Spectral DefocusCam: hyperspectral imaging using defocus and a spectral filter array
Authors: Foley Christian , Monakhova Kristina , Yanny Kyrollos , Waller Laura
Published: September 2022

We propose a compact hyperspectral camera based on a focus-tunable lens and spectral filter array. The camera captures then fuses multiple defocused measurements to obtain a high-resolution hyperspectral volume.
Conditional variational generative network for attosecond pulse retrieval
Authors: Zhu Zheyuan , White Jonathon , Chang Zenghu , Pang Sean
Published: September 2022

We present a conditional variational generative network (CVGN) for characterizing attosecond XUV pulses from noisy streaking traces. CVGN captures the uncertainty and ambiguity arising from the streaking process, providing guidelines to attosecond pump-probe experiments.
Escaping the twin-image problem with the hybrid input-output algorithm
Authors: Tian Yaocheng , Fienup James R.
Published: September 2022

The twin-image problem is sometimes a persistent stagnation mode of the phase retrieval problem. We show that one can circumvent the problem by using only the hybrid input-output algorithm with a large number of iterations.
Imaging through Scatter using Hyperspectral Speckle
Authors: Balaji Muralidhar M. , Ahsanullah Danyal , Rangarajan Prasanna
Published: September 2022

This work recovers images of voids embedded inside a scattering medium using a tunable laser and a CMOS camera by adapting ideas from intensity interferometry and photon migration through disordered media.
Non-invasive, Depth-resolved Imaging through Scattering Media
Authors: Aarav Shaurya , Fleischer Jason W
Published: September 2022

We add depth resolution to conventional speckle correlation imaging by capturing images at two detector positions. The method relies on speckle scaling from the axial memory effect.
Step Size Influence on Defocused Beam Ptychography
Authors: Hu Ziyang
Published: September 2022

We discuss the influence of overlapping parameter using Fermat spiral scan in a defocused beam ptychography configuration. It shows a high efficiency in exposure distribution and image reconstruction quality using extended ptychography iterative engine (ePIE).
Phase retrieval for generating arbitrary intensity distributions using an optofluidic projector
Authors: Sieben Merit , Zappe Hans
Published: September 2022

A phase retrieval algorithm for optofluidic projectors based on neural networks and trust-region optimization is demonstrated. The algorithm determines the necessary phase shift resulting from the deformed fluidic surface for a given desired intensity pattern.
Kaleidomicroscope-A Kaleidoscopic Multiview Microscope
Authors: Wechsler Felix , Heintzmann Rainer , Ihrke Ivo
Published: September 2022

We introduce the Kaleidomicroscope-a kaleidoscopic multview microscope. A mirror box in front of the objective allows to capture different 3D views of a sample. A 3D deconvolution is demonstrated in simulations and experiments.
Deep Learning-based Spectroscopic Single-molecule Localization Microscopy for Simultaneous Multicolor Imaging
Authors: Gaire Sunil Kumar , Flowerday Ethan , Frederick Jane , Gong Ruyi , Prabhala Sravya , Ying Leslie , Zhang Hao F. , Backman Vadim
Published: September 2022

We present a deep-learning-based computational approach for multicolor spectroscopic single-molecule localization microscopy. Artificial neural networks trained on simulated data to localize the stochastically blinking single-molecules and enhance the corresponding emission spectra show improved simultaneous multicolor imaging.
Single Pixel Near-Infrared Imaging for Spectral Classification
Authors: Bacca Jorge , Marquez Miguel , Arguello Henry
Published: September 2022

This work presents an approach to classify single-pixel near-infrared measurements directly on the compressed domain without recovering the desired image.
Empirical demonstration of achieving image resolution below the optical diffraction limit with Image Phase Alignment Super-Sampling
Authors: Caron James N.
Published: September 2022

A super-sampling algorithm is applied to empirical sets of translated images taken in a laboratory setting. Measurements applied to processed images reveal that image resolution subceeds the system diffraction limit for range of aperture settings.
Quantum-limited Optical Super-resolution Imaging of Multiple Point-sources
Authors: Lee Kwan Kit , Gagatsos Christos , Guha Saikat , Ashok Amit
Published: September 2022

We exploit the quantum parameter estimation approach proposed by Personick [1] to develop a Bayesian adaptive sequential measurement scheme to estimate the number, brightness and location of point sources in a constellation. We demonstrate that the proposed measurement scheme outperforms the traditional diffraction-limited imaging in the deep sub-Rayleigh regime.
Non-linear Propagation Model Learning for Coded Aperture Snapshot Spectral Imaging
Authors: Escobar Jessica , Bacca Jorge , Arguello Henry
Published: September 2022

This article proposes to learn a non-linear propagation model to be used in recovery algorithms to improve spectral estimation.
Compressive Spectral Image Reconstruction by using a Deep Image Prior with a Mismatch Regularizer
Authors: Gualdrón-Hurtado Romario , Bacca Jorge , Arguello Henry
Published: September 2022

A compressive image recovery method that includes a regularizer in the baseline deep image prior is proposed to consider the calibration sensing model mismatch.
Consistent searching of propagation-invariant fiber modes
Authors: Li Ruoxuan , Xiang Yangyang , Hu Xingzhuo , Li Junhui , Lan Mingying , Gao Li
Published: September 2022

For multimode fiber, modified optimization goal stressing on transmission matrix diagonalization improves method self-consistency of searching propagation-invariant modes, assuming the disturbance being Zernike aberration.
Open-Path Dual-Comb Spectroscopy for Measuring Methane Emission Contributions from Oil and Gas Infrastructure in the Northern Colorado Front Range
Authors: Mead Griffin J. , Herman Daniel I. , Malarich Nathan A. , Giorgetta Fabrizio R. , Baumann Esther , Washburn Brian R. , Newbury Nathan R. , Coddington Ian , Cossel Kevin C.
Published: September 2022

Multi-month methane and ethane measurements in the Northern Colorado Front Range using open-path dual-comb spectroscopy are reported. Conditional probability densities of measurements stratified by composition ratio distinguishes between wellhead and non-wellhead emissions.
Single-shot multi-modal system for biological applications with high temporal stability
Authors: Tayal Shilpa , Mehta Dalip Singh
Published: September 2022

Multi-modal system benefits by acquiring multi-fold information about the specimen. Here, we develop a multi-modal system to gather molecular specific and quantitative information in a single shot with high temporal stability. The experimental results on tagged polystyrene beads are presented.
A Statistical Chemical Analysis for Fixed Tissues
Authors: Semon Bryan , Jaffe Michael , Tsukamoto Hidekazu , Lu Lu , Ariunbold Gombojav O.
Published: September 2022

A statistical analysis based on spatial Q-test is adopted for determining the quality of chemical images of the formalin fixed bone tissue.
Dual-band SRS pulsed fiber laser for photoacoustic sensing and imaging
Authors: Park Sang Min , Cho Soon-Woo , Lee Sang-Won , Kim Chang-Seok
Published: September 2022

We present a novel dual-band SRS pulsed fiber laser, which alternates the excitation wavelengths between 545 and 599 nm using stimulated Raman scattering (SRS) effect for high-speed photoacoustic (PA) sensing and imaging.
Evanescent scattering imaging of single proteins
Authors: Zhang Pengfei , Wang Shaopeng
Published: September 2022

We employ the SPR microscopy to theoretically and experimentally demonstrate the effect of three factors on the detection limit of the evanescent single-molecule imaging. This work may help develop new evanescent single-molecule imaging schemes.
Source polarisation independent single-shot cross-polarised optical coherence tomography approaches: a comparison
Authors: Blessing Katharina , Schirmer Judith , Sharma Gargi , Singh Kanwarpal
Published: September 2022

We have developed several methods to realise a cross-polarised optical coherence tomography system that works independent of the polarisation state of the source. Here, we compare the performance of these approaches.
Subwavelength Color Router with Perfect Optical Efficiency
Authors: Catrysse Peter B. , Zhao Nathan , Jin Weiliang , Fan Shanhui
Published: September 2022

We introduce a subwavelength color router in a RGGB Bayer geometry for solid state image sensors. Our device concept performs color routing with perfect optical efficiency and has a broadband, polarization-independent, and angular robust response.
OCTA-guided Photo-mediated Ultrasound Therapy
Authors: Li Yan , Chen Zhongping
Published: September 2022

We developed a high speed PUT system to achieve faster blood vessel destruction, decreasing the treatment time by a factor of 20. Furthermore, we integrated it with optical coherence tomography angiography for real time monitoring. The feasibility of the proposed OCTA-guided PUT was validated through in vivo rabbit experiments.
Lensless Near-Field Imaging with Enhanced Deep Super-Resolution Towards Real-Time Intraoperative Tumor Classification
Authors: Czarske J. W. , Wang T. , Wu J. , Uckermann O. , Galli R. , Kuschmierz R.
Published: September 2022

A deep learning assisted fiber endoscopy is proposed. Resolutions beyond physical limitations are achieved, resulting in increased tumor diagnostic accuracy. This method is promising for rapid minimal-invasive intraoperative diagnosis.
Frequency-Domain Stimulated Raman Scattering Tomography For Label-Free Deep Tissue Chemical Imaging
Authors: Gong Li , Lin Shulang , Huang Zhiwei
Published: September 2022

We present a unique Frequency-domain stimulated Raman scattering tomography (FD-SRST) technique for label-free deeper tissue chemical imaging.
Enabling high-fidelity spectroscopic analysis of plutonium with machine learning
Authors: Rao Ashwin P. , Jenkins Phillip R. , Patnaik Anil K.
Published: September 2022

Machine learning methods are constructed to perform analysis of plutonium surrogate material. Decision tree based methods yield predictive models for quantifying gallium from optical emission spectra with sensitivities as low as 0.006 wt%.
CNN-based tomographic reconstruction of laser absorption in a gas turbine model combustor
Authors: Yin Zhiyao , Nau Patrick , Scheffold Hannah
Published: September 2022

Tomographic reconstruction of laser absorption of H2O is demonstrated in a swirl-stabilized gas turbine model combustor. Superior reconstruction performance is achieved against conventional methods using a nonlinear regression technique based primarily on convolutional neural networks.