bluuebunny/crossref_metadata_2025 huggingface dataset:
Three systems of molecular markers reveal genetic differences between varieties sabina and balkanensis in the Juniperus sabina L. range
Authors: Jadwiszczak Katarzyna A. , Mazur Małgorzata , Bona Agnieszka , Marcysiak Katarzyna , Boratyński Adam
Published: November 2023

Key message

J. sabina var. balkanensis, that is of hybrid origin, and its maternal progenitor J. sabina var. sabina are genetically distinct with respect to cpDNA, SNP, and SilicoDArT loci. Mostly non-overlapping distributions of the sabina and balkanensis varieties are the result of their different climatic requirements.

Context

Juniperus sabina L. is present in the Eurasian mountains, but its range is severely fragmented. In Europe, two varieties of J. sabina occur: var. sabina and var. balkanensis, the latter being an allotetraploid hybrid between the diploid var. sabina and a tetraploid ancestor of Juniperus thurifera L. The distribution of the two varieties is mostly disjunct.

Aims

Assess the taxonomic affiliation and genetic differentiation of the populations of var. sabina and var. balkanensis in Europe and Asia using cpDNA, SilicoDArT, and SNP markers. Identify climatic niches of both juniper varieties in Europe.

Methods

Altogether, 21,134 SilicoDArT, 8,579 SNP, and four cpDNA loci were used. Seven climatic variables were compared in sites inhabited by var. balkanensis and the two parental species.

Results

The SilicoDArTs and SNPs revealed a pattern of population differentiation that was congruent with the cpDNA analysis. The hybrid var. balkanensis occupies habitats with higher temperatures and intermediate levels of precipitation compared to both parental taxa.

Conclusion

The low genetic variation and significant genetic differentiation among J. sabina populations likely result from the restriction of gene flow imposed by the mountain ranges. The balkanensis variety is able to cope with hot and dry climates probably thanks to the admixture of J. thurifera genes.
The role of intraoperative neurophysiological monitoring in intramedullary spinal cord tumor surgery
Authors: Liu Kai , Ma Chengyuan , Li Dapeng , Li Haisong , Dong Xuechao , Liu Bo , Yu Ying , Fan Yuxiang , Song Hongmei
Published: November 2023

Intramedullary tumors are a class of central nervous system tumors with an incidence of 2 to 4%. As they are located very deep and frequently cause postoperative neurological complications, surgical resection is difficult. In recent years, many surgeons have performed electrophysiological monitoring to effectively reduce the occurrence of postoperative neurological complications. Modern electrophysiological monitoring technology has advanced considerably, leading to the development of many monitoring methods, such as SSEPs, MEPs, DCM, and EMG, to monitor intramedullary tumors. However, electrophysiological monitoring in tumor resection is still being studied. In this article, we discussed the different monitoring methods and their role in monitoring intramedullary tumors by reviewing previous studies. Intratumorally tumors need to be monitored for a summary of the condition of the patient. Only by using various monitoring methods flexibly and through clear communication between surgeons and neurophysiological experts can good decisions be made during surgery and positive surgical results be achieved.
Bayesian multilevel modelling of the association between socio-economic status and stunting among under-five-year children in Tanzania
Authors: Musheiguza Edwin , Mbegalo Tukae , Mbukwa Justine N.
Published: November 2023

Background

Stunting is associated with socioeconomic status (SES) which is multidimensional. This study aimed to compare different SES indices in predicting stunting.

Methods

This was the secondary data analysis using Tanzania Demographics and Health Surveys (TDHS). The study used 7492, 6668, and 8790 under-five-year children from TDHS 2004/5, 2010, and 2015/16, respectively. The Household Wealth Index (HWI); Water and Sanitation, Assets, Maternal education and Income (WAMI); Wealth Assets, Education, and Occupation (WEO); and the Multidimensional Poverty Index (MPI) indices were compared. The summated scores, principal component analysis (PCA), and random forest (RF) approaches were used to construct indices. The Bayesian and maximum likelihood multilevel generalized linear mixed models (MGLMM) were constructed to determine the association between each SES index and stunting.

Results

The study revealed that 42.3%, 38.4%, and 32.4% of the studied under-five-year children were stunted in 2004/5, 2010, and 2015/16, respectively. Compared to other indicators of SES, the MPI had a better prediction of stunting for the TDHS 2004/5 and 2015/16, while the WAMI had a better prediction in 2010. For each score increase in WAMI, the odds of stunting were 64% [BPOR = 0.36; 95% CCI 0.3, 0.4] lower in 2010, while for each score increase in MPI there was 1 [BPOR = 1.1; 95% CCI 1.1, 1.2] times higher odds of stunting in 2015/16.

Conclusion

The MPI and WAMI under PCA were the best measures of SES that predict stunting. Because MPI was the best predictor of stunting for two surveys (TDHS 2004/5 and 2015/16), studies dealing with stunting should use MPI as a proxy measure of SES. Use of BE-MGLMM in modelling stunting is encouraged. Strengthened availability of items forming MPI is inevitable for child growth potentials. Further studies should investigate the determinants of stunting using Bayesian spatial models to take into account spatial heterogeneity.
Pierre Joris and “The Whole Celan”—a Life's Work
Authors: Frank Christine
Published: November 2023

Pierre Joris is one of the most distinguished translators of the poetry of Paul Celan into English. He is the only person to have translated Celan's complete poetic works and prose over the course of more than fifty years, creating a life's work. His translations, begun in 1967 and published between 1995 and 2020, have had and continue to have a lasting influence on readings and translations of Celan in the United States. This essay outlines the particular challenges that Celan's language poses to the translator; revisits the development of Joris's Celan translations; and provides an example examination using the poem “Todtnauberg,” in which Celan reflects on his encounter with Martin Heidegger. It was Joris's translation of this poem that inspired the poet Charles Bernstein to undertake his own translation experiment.
L’état Naissant: On Celan's Microliths They Are, Little Stones: Posthumous Prose
Authors: Carder Austin
Published: November 2023

Microliths They Are, Little Stones: Posthumous Prose (2020) represents the culmination of Pierre Joris's fifty-year effort of translating the work of Paul Celan into English. The book contains a small library: aphorisms, fiction, dialogues and notes for dramatic works, theoretical prose, interviews, as well as illustrations. This review essay primarily focuses on notes and drafts toward an unfinished essay called “On the Darkness of Poetry.” It is a major statement of Celan's poetics and still stands as an unmet challenge to poets writing today. Its unfinished state should not be considered a liability but read instead as a formal argument (albeit unintended) that “the alleged thought- or language-scheme of the poem is never ‘finished.’”
Interview with Meg Havran
Authors: Golumbia David
Published: November 2023

Margaret Havran served as managing editor of boundary 2 for twenty-five years until her retirement in 2021. She worked closely with editor in chief Paul Bové during that time, and was integral to every part of the journal production process. In an interview conducted shortly after her retirement, Havran reflects on her experiences working at the journal.
Beyond the Sovereign Self
Authors: Kester Grant H.
Published: November 2023

In Beyond the Sovereign Self Grant H. Kester continues the critique of aesthetic autonomy begun in The Sovereign Self, showing how socially engaged art provides an alternative aesthetic with greater possibilities for critical practice. Instead of grounding art in its distance from the social, Kester shows how socially engaged art, developed in conjunction with forms of social or political resistance, encourages the creative capacity required for collective political transformation. Among others, Kester analyzes the work of conceptual artist Adrian Piper, experimental practices associated with the escrache tradition in Argentina, and indigenous Canadian artists such as Nadia Myre and Michèle Taïna Audette, showing how socially engaged art catalyzes forms of resistance that operate beyond the institutional art world. From the Americas and Europe to Iran and South Africa, Kester presents a historical genealogy of recent engaged art practices rooted in a deep history of cultural production, beginning with nineteenth-century political struggles and continuing into contemporary anticolonial resistance and other social movements.
Worst-Case Iteration Bounds for Log Barrier Methods on Problems with Nonconvex Constraints
Authors: Hinder Oliver , Ye Yinyu
Published: November 2023

Interior point methods (IPMs) that handle nonconvex constraints such as IPOPT, KNITRO and LOQO have had enormous practical success. We consider IPMs in the setting where the objective and constraints are thrice differentiable, and have Lipschitz first and second derivatives on the feasible region. We provide an IPM that, starting from a strictly feasible point, finds a μ-approximate Fritz John point by solving [Formula: see text] trust-region subproblems. For IPMs that handle nonlinear constraints, this result represents the first iteration bound with a polynomial dependence on [Formula: see text]. We also show how to use our method to find scaled-KKT points starting from an infeasible solution and improve on existing complexity bounds.

Funding: This work was supported by Air Force Office of Scientific Research [9550-23-1-0242]. A significant portion of this work was done at Stanford where O. Hinder was supported by the PACCAR, Inc., Stanford Graduate Fellowship and the Dantzig-Lieberman fellowship.
Política Econômica e Relações Exteriores: os limites da inserção internacional do Brasil (2003-2016) | Economic policy and Foreign relations: the limits of Brazil's international insertion (2003-2016)
Authors: Araujo Marcos do Vale , Ferraz João Felipe de Almeida
Published: November 2023

Nos governos do Partido dos Trabalhadores, o esgotamento simbólico e material do projeto da política externa brasileira tornou questionável se os seus objetivos preconizados sequer poderiam ser apoiados em um modelo de desenvolvimento voltado majoritariamente ao setor primário. Considerando esse descompasso, questiona-se: até que ponto houve compatibilidade das propostas do projeto de política externa levado a cabo pelos governos Lula e Dilma (2003-2016) com as dinâmicas materiais e ideacionais estruturantes do cenário doméstico brasileiro? Os resultados parciais nos direcionam à conclusão de que a derrocada do projeto de política externa do período remonta em grande parte da baixa conexão entre as propostas deste projeto com o modelo de desenvolvimento adotado e, consequentemente, com a realidade política e econômica doméstica. Metodologicamente, o artigo consiste em uma pesquisa majoritariamente qualitativa de caráter exploratório, se valendo da análise de artigos e livros a respeito da temática do desenvolvimento e da política externa brasileira.
Recebido em: 10 mar. 2023 | Aceito em: 05 out. 2023.
Papel da Cooperação Técnica Brasileira com os países africanos de Língua Oficial Portuguesa (PALOP) o campo da segurança alimentar | The Role of Brazilian Technical Cooperation with Portuguese-Speaking African Countries (Palop) in the Field of Food Security
Authors: Freitas Jeane Silva , Mazzarella Maria Gabriela Mendonça , Melo Estevão Luiz Lacerda Vidal Albuquerque
Published: November 2023

A cooperação técnica brasileira com os Países Africanos de Língua Portuguesa, os PALOP, é considerada uma interação cooperativa para promover projetos de segurança alimentar como instrumento de política externa bem-sucedida. Mesmo com as singularidades dos países africanos, as políticas de segurança alimentar brasileira se tornaram atrativas a esses países, seja por similaridades históricas, sociais ou econômicas. Assim, o escopo temporal desta pesquisa compreende os dois mandatos do governo Lula da Silva, entre 2003-2010, e se estende até o segundo mandato do governo Dilma Rousseff, entre 2011-2016. Para tanto, o objetivo desta pesquisa consiste em analisar os fatores que influenciaram os tomadores de decisão brasileiros a estabelecer cooperação técnica, com maior incidência para os PALOP, na área de segurança alimentar.
Recebido em: 13 mar. 2023 | Aceito em: 01 nov. 2023.
Non-invasive and contemporaneous cardiac imaging in heart failure
Authors: Tavares Sara
Published: November 2023

This article reviews the current non-invasive cardiac imaging modalities used in the diagnosis and management of heart failure patients. Heart failure is a complex syndrome secondary to functional and structural changes of the heart, with a wide range of possible causes for its onset. Different imaging investigations can inform diagnosis and guide care plans, so nurses across clinical practice will benefit from having knowledge on when these modalities are used. Echocardiography remains the most common investigation due to its low cost and reproducible nature when compared with other methods. It allows quantification of left ventricular function, which is an important prognostic marker in heart failure. Through cardiac magnetic resonance imaging, identification of potential reversible causes is possible, and further identification of underlying causes, when other modalities fail to do so. Finally, computed tomography coronary angiography is the currently recommended test in all patients presenting with typical or atypical anginal symptoms, diagnostically comparable to invasive coronary angiography.
Updates on emerging and evolving gastrointestinal parasites in dogs and cats
Authors: Evason Michelle D
Published: November 2023

Gastrointestinal parasites are a common veterinary concern and pet owner conversation. Globally, parasite ranges and abundances are evolving, and various clinical management challenges in dogs and cats have emerged. Some of these are novel, such as hookworm multi-drug resistance, and others have been veterinary challenges for years, like Giardia's zoonotic potential. For these examples and others, there has been increased awareness of the need for appropriate veterinary anthelmintic use and stewardship. This review provides an update on selected gastrointestinal parasites of One Health importance, highlights gastrointestinal parasite global management and prevention recommendations, and summarises recent research, along with potential risks associated with pet importation and travel.
ENVELHECIMENTO POPULACIONAL E VULNERABILIDADE SOCIAL: o caso do Estado de Minas Gerais
Authors: Araújo Ribeiro Marina , De Souza Abreu Laís , Teixeira Evandro Camargos
Published: November 2023

Diante do rápido processo de transição demográfica vivenciado nos países em desenvolvimento, o principal objetivo desse estudo é analisar a relação entre envelhecimento populacional e vulnerabilidade social no estado de Minas Gerais no ano de 2016. A partir de dados relativos aos municípios do referido estado, modelos econométricos de Regressão Quantílica foram estimados. Os resultados corroboraram a hipótese da pesquisa, demonstrando que municípios mais envelhecidos apresentam maiores níveis de vulnerabilidade social. Nesse sentido, conclui-se que questões relacionadas à saúde, ao abandono familiar, às dificuldades financeiras vivenciadas e ao preconceito social sofrido explicam a maior suscetibilidade dos idosos às condições socioeconômicas adversas. Além disso, foi possível verificar que o efeito do envelhecimento populacional é menor nos municípios mais vulneráveis, cresce em quantis médios da distribuição de vulnerabilidade e volta a cair em municípios com menor nível de vulnerabilidade.
"The wife who has plagued him … & … is rather lunatical": A Contemporary Private Reference to the Dickens Scandal
Authors: Long William F.
Published: November 2023

Abstract: A short commentary by the poet Arthur Hugh Clough on the gossip surrounding the breakdown of the Dickens marriage in a letter to an American friend in June 1858 provides a glimpse of how it appeared to one literary Londoner not having a close personal acquaintance with the family. The information (and misinformation) Clough drew on appears to include material derived from Dickens's as then unpublished (later "violated") letter of 25 May. Unlike accounts transmitted to American newspapers by London correspondents which propagated stories concerning an actress, Clough's account mentions Georgina Hogarth as the subject of the "scandalous rumours." He thus tenders a version of the gossip which seems otherwise to have been largely transmitted orally. Clough's characterization of Catherine as "lunatical," well before Dickens's letter of 25 May with its reference to his wife's alleged "mental disorder," comprises the earliest known written reference to this aspect of Dickens's narrative.
“The Caravan of Death”: Women, Refugee Camps, and Family Separations in the US–Mexico Borderlands, 1910–1920
Authors: Castillo-Muñoz Verónica
Published: November 2023

Abstract: This article examines how Mexican border women negotiated war and family separations and gives new insights into the lives of women, families, and children who escaped the violence of the Mexican Revolution (1910–1920). As hundreds of thousands of Mexicans began crossing the border to the United States during the evolution, thousands of them, especially women and children, were detained and interned in refugee camps along the US–Mexico borderlands. This article examines the role of the US military in detention centers and argues that Anglo-American ideologies of race and gender shaped assumptions about Mexican women during the revolution that increasingly prevented Mexican women and children from seeking asylum in the United States.
"He Should Prepare a Sauce": Recovering a Haroset Recipe from 'Abbasid Iraq
Authors: Sienna Noam
Published: November 2023

Abstract: Contribution to the essay forum "The Jewish Recipe."
Revisiting a Sabbatian Controversy: Moses Ḥayim Luzzatto and a Multiplicity of Rabbinates in the Eighteenth Century
Authors: Sclar David
Published: November 2023

Abstract: News that Moses @Hayim Luzzatto (ca. 1707–ca. 1746) was the recipient of heavenly revelations touched off a controversy that engulfed European rabbinic networks for several years. Led by Moses Hagiz, Jewish religious leaders far and wide condemned Luzzatto and his mystical messianic group as heretical. However, the Luzzatto controversy was far more complicated than merely a case of the rabbinic establishment suppressing a heretical thinker. Responses varied in enthusiasm, denunciation, and ambivalence, reflecting a rabbinic culture impacted by age, ethnicity, family, geography, ideology, and social networks. Opinions and alliances shifted, criticism levied at Luzzatto and his group in Padua proved idiosyncratic, and Luzzatto began and ended his short but prodigious career as a celebrated rabbinic author. The broad spectrum of responses to Luzzatto indicates a need to reassess notions of the rabbinate, heresy, and spiritual leadership and consider the interplay between local and pan-Jewish identities. This essay discusses how intercommunal relationships and rabbinic autonomy played a role in the developments, and how variegated responses to the controversy revealed a wide range of social and religious emphases in early modern Jewish culture.
Three-dimensional integral imaging low light polarimetric image restoration
Authors: Usmani Kashif , Wani Pranav , O’Connor Timothy , Javidi Bahram
Published: November 2023

We overview the enhancement of polarimetric imaging in degraded environments using denoising convolutional neural network model with 3D integral imaging. The experimental results were compared with total variation denoising in terms of SNR and SSIM.
Gigasample-resolution spectroscopy of arbitrary light sources using frequency combs
Authors: Burghoff David
Published: November 2023

The unique architecture of frequency combs, light sources with evenly-spaced lines, enables innovative approaches in optical signal measurement. We demonstrate ptychoscopy, a measurement technique and inversion algorithm that unravels overlapped heterodyne signals, merging heterodyne spectroscopy’s resolution and speed with combs’ bandwidth.
3D Object Detection with the Robust Integral Generalized Hough Transform
Authors: Fernández Ariel , Umpiérrez Julieta , Alonso Julia R.
Published: November 2023

Robust detection and visualization of arbitrary 3D objects can be achieved by means of an extension of the generalized Hough transform to integral imaging.
Fourier Light Field Camera Array Microscope for Mesoscale 3D Imaging
Authors: Cook Clare , Zhou Kevin C. , Horstmeyer Roarke
Published: November 2023

We present the Fourier Light field Camera Array Microscope (FL-CAM) for high-throughput, single-snapshot 3D imaging. The FL-CAM substitutes a synchronized array of 48 independent imaging systems for micro-lens array of typical light field systems.
3D imaging of hiPSC-derived cardiomyocytes with light-field microscopy
Authors: Liu Wenhao , Forghani Parvin , Chen Qingyu , Armand Lawrence C. , Xu Chunhui , Jia Shu
Published: November 2023

We introduce light-field microscopy for volumetric imaging of 3D Human induced pluripotent stem cell-derived cardiomyocytes with high spatiotemporal resolution, realizing simultaneous recording of calcium oscillations and cellular movements in cardiac spheroids and demonstrating their synchronization.
Pre-compensation model for shrinkage effect in photopolymer materials for holographic near eye displays
Authors: Kaur Rajveer , Park Jae-Hyeung , Kumar Raj
Published: November 2023

In this work, the simplified expressions to record the volume holographic grating are obtained for the realization of normally illuminated waveguide based near-eye displays in order to compensate the shrinkage effect of holographic photopolymer materials.
Novel circular fringe projection method using conical mirror
Authors: Shin Donghun , Hyun Jae-Sang
Published: November 2023

We present a novel 3D circular reconstruction method that uses a conical mirror to project the fringe patterns. The proposed approach is based on the principle of uni-axial projection method which defines the relationship between the phase information in the DFP system and the 3D geometry of the 360-degree view of the environment. Furthermore, the proposed method is capable of producing accurate 3D geometry of the environment without using the conventional method projector calibration method, which is suitable in scanning unstructured environments such as inside tunnels and bridges.
Liquid-Crystalline Lens Array-Based 3D/2D Switchable Augmented Reality Display System Using One-Shot Learning Model
Authors: Erdenebat Munkh-Uchral , Khuderchuluun Anar , Darkhanbaatar Nyamsuren , Nam Oh-Seung , Kim Joon Hyun , Imtiaz Shariar Md. , Kwon Ki-Chul , Gil Sang-Keun , Kim Hak-Rin , Kim Nam
Published: November 2023

An advanced three-dimensional/two-dimensional switchable augmented-reality system is proposed. A camera captures the images of real objects, and it is displayed as it is or the elemental image array generated from a captured image and estimated depth information via a one-shot learning model, is reconstructed by a liquid-crystalline lens array.
A high-accuracy visual simulation method for light field 3D display
Authors: Hu Xiao-Shuai , Wang Tong-Yu , Lin Xing-Yu , Zhang Han-Le , Wang Qiong-Hua , Xing Yan
Published: November 2023

We propose a visual simulation method for light field 3D display that can accurately simulate the direction modulation of light rays emitted from sub-pixels, achieving a high-accuracy 3D visualization simulation.
Computer-Generated Holography Using Point Cloud Processing Neural Networks
Authors: Eybposh M. Hossein , Cai Changjia , Deb Diptodip , Schott Miguel A. B. , Ye Longtian , Both Gert-Jan , Turaga Srinivas C. , Rodriguez-Romaguera Jose , Pégard Nicolas C.
Published: November 2023

We present a new deep-learning-based method for Computer Generated Holography (CGH) with point cloud representation. Our technique, DeepCGH2.0, dramatically reduces the size of the target image representations and synthesizes holograms in less than 2 milliseconds.
Scatter Removal in Dynamic X-Ray Tomography using Learned Robust Features
Authors: Gautam Siddhant , Klasky Marc L. , Ravishankar Saiprasad
Published: November 2023

A challenging problem in industrial radiography is accurate density reconstructions from X-ray projections corrupted by noise, scatter, etc. We propose a deep learning-based framework to extract robust features from radiographs and reconstruct the underlying densities.
Measurement of complex wave fields emanating from a phase-type spatial light modulator for the estimation of lithographic holograms
Authors: Lim Yongjun , Choi Myeong-Gyu , Oh Kwan-Jung , Kim Hwi
Published: November 2023

Computational techniques related to computer-generated holograms are highly improved leading to improved holographic image quality and greater flexibility. We propose a quality assessment method of CGHs for lithographic holograms by the wavefront measurement.
Abrupt Autofocusing Beam Meta-Optics for Biomedical Applications
Authors: Suresh Surag Athippillil , Vyas Sunil , Chu Cheng Hung , Luo Yuan , Yang Pan-Chyr , Yeh J. Andrew , Tsai Din Ping
Published: November 2023

A nano-photonic metasurface is designed and used to generate abrupt autofocusing (AAF) beam for biomedical applications. The AAF beam offers high intensity contrast and unique focusing. It shows potential for creating miniature laser surgery instruments.
Computer-Generated Hologram based on Wavefront Recording Plane with Little Square
Authors: Zhu Tian-Yi , Piao Mei-Lan
Published: November 2023

We proposed a computer-generated hologram (CGH) method using point cloud data based on wavefront recording plane (WRP) with little square. The method is beneficial for reducing calculation time of computer-generated hologram with point clouds.
Fluorescence Imaging Through Scattering Media by Combination of TIE-based Backpropagation and Phase Retrieval
Authors: Matsuda Shiori , Yoneda Naru , Kumar Manoj , Matoba Osamu
Published: November 2023

To reconstruct the object image by fluorescence imaging through the scattering media, we propose a method to measure the phase of fluorescence scattered light by transport of intensity equation, reconstruct it by back propagation to the surface of scattering media, and then use phase retrieval by Fresnel propagation.
Parameter estimation of 3D integral imaging using spatial mutual information
Authors: Wani Pranav , Usmani Kashif , Javidi Bahram
Published: November 2023

We overview parameter estimation of integral imaging for optimizing desired characteristics such as longitudinal resolution. We present simulation results where objects were constructed using the Ising model and their fidelity was computed using mutual information [1].
Compound-Axis Tracking System Based on Single-detector Dual-channel Parallel Control
Authors: Qilong Yang , Xiaoyua Ma , Shuang Liu , Peijiao Ding , Hong Tu , Guangfu Yuan , Chengping Li
Published: November 2023

We control two tilt mirrors through the dual-channel parallel control algorithm to achieve Compound-axis tracking, achieving the dynamic range and tracking bandwidth of two-stage compound-axis tracking.
DigiCam: Single-Shot Lensless Sensing with a Low-Cost Programmable Mask
Authors: Bezzam Eric , Vetterli Martin , Simeoni Matthieu
Published: November 2023

We propose an LCD-based lensless camera for compressive and programmable sensing. The system is low-cost (less than 100 USD) and reproducible. We model the proposed system, and demonstrate experimental results for imaging and classification.
An End-to-End Learning Approach for Subpixel Feature Extraction
Authors: Xu Xiaojian , Fessler Jeffrey A. , Klasky Marc , Sidharth G S , Schei Jennifer L. , McCann Michael Thompson
Published: November 2023

We propose a feature extraction method based on Fourier image encoding and a multiscale convolutional neural network, training end-to-end. Our experiments show the method can localize subpixel feature locations from density fields to subpixel accuracy.
Plug-and-Play Deep Image Prior for Snapshot Optical Coherence Tomography
Authors: Qu Gang , Wang Xiaodong , Yuan Xin
Published: November 2023

In snapshot optical coherence tomography (OCT), the spectral data is sampled by a coded aperture snapshot spectral imaging (CASSI) system. A self-supervised neural network is developed that integrates deep image priors (DIP) into the plug-and-play regime for the reconstruction of 3D tomographic information.
Quantitative phase microscopy imaging of cells using telecentric in-line-and-off-axis hybrid digital holography
Authors: Zhong Zhi , Zhao Wanting , Shan Mingguang
Published: November 2023

A telecentric in-line-and-off-axis hybrid digital holography reconstruction method is proposed to enable high-resolution microscopic quantitative imaging. The experiment of red blood cells was conducted to demonstrate the validity of the proposed approach.
Fast Solution of Lippmann-Schwinger Equation with Efficient Neural Regularization
Authors: Pang Subeen , Barbastathis George
Published: November 2023

We propose a neural network regularizer that mitigates the ill-conditionedness of the Lippmann-Schwinger equation. By learning the physics, it can significantly reduce the computational time and can be generalizable to objects unseen during the training.
Spatial Light Modulator-Based LiDAR System for Extended Field-of-View Scanning with Computer-Generated Holography
Authors: Tsai Cheng-Mu , Fang Yi-Chin , Lin Sheng-Feng
Published: November 2023

The aim of this paper is to propose a new method of scanning the field of view (FOV) in light detection and ranging (LiDAR) systems by utilizing computer-generated holography (CGH) method with a spatial light modulator (SLM). Based on replacing the objective in the telescope with the SLM, we were able to successfully scan large FOVs in LiDAR systems, confirming the effectiveness of this approach. The proposed conceptual breakthrough of this approach will be presented as part of the preliminary studying project for the LiDAR system in the satellite payloads.
Evaluation of Phase Retrieval for the Roman Space Telescope Coronagraph Instrument
Authors: Marx David , Cady Eric , Krist John , Kern Brian , Riggs A.J. Eldorado , Zhou Hanying
Published: November 2023

The Roman Space Telescope Coronagraph Instrument uses phase retrieval for instrument multiple calibrations. We describe the how phase retrieval is performed and evaluate estimation error in the presence of instrument non-idealities.
Deep Learning-Based Polarization Capable Fourier Ptychographic Microscopy (DL-PFPM)
Authors: Phan T. , Bazow Brad , Aslam Shahid , Nehmetallah G.
Published: November 2023

We developed a deep learning-based polarization Fourier ptychographic microscopy (DL-PFPM) reconstruction technique that can obtain wide field-of-view and high-resolution quantitative birefringence retardance and orientation information of specimens from just a single recovered complex field image.
Fluorescence Lifetime Sensing with Two-Photon Interferometry
Authors: Lyons Ashley , Zickus Vytautas , Alvarez-Mendoza Raul , Triggiani Danilo , Tamma Vincenzo , Tassieri Manlio , Faccio Daniele
Published: November 2023

The temporal resolution of fluorescence lifetime microscopy is typically restricted to 100s picoseconds due to detector response. We present a novel technique, inspired by quantum interferometry, that is limited only by the optical pulse duration.
Deep Learning Method to Find Swanepoel Envelopes in Transmission Spectroscopy
Authors: Ballester Manuel , Marquez Emilio , Marquez Almudena P. , Lopez-Tapia Santiago , Cossairt Oliver , Willomitzer Florian , Katsaggelos Aggelos K.
Published: November 2023

This research presents a novel Deep Learning method to find the Swanepoel Envelopes from the transmission spectra of dielectric thin films. This method improves the efficiency and accuracy of the film’s optical characterization.
Tracking the Shack-Hartmann Spots Using Neuromorphic Motion Compensation
Authors: Wang Chutian , Ge Zhou , Zhu Shuo , Zhang Pei , Lam Edmund Y.
Published: November 2023

The essential part of Shack-Hartmann (SH) wavefront sensing is the fast and precise estimation of spot displacement. We report a neuromorphic motion compensation technique to track the motion of SH spots directly from spatio-temporal event streams.
Distortion Correction for Imaging Using a Wavefront Sensing Based Multiple-Input Deep Neural Network
Authors: Büttner Lars , Gao Zeyu , Yang Ping , Bilsing Clemens , Czarske Jürgen
Published: November 2023

An actuator-free aberration correction using a multiple-input deep convolutional neural network is presented. It uses an additional wavefront sensor input to correct time-varying low-order aberrations. These advantages were transferred to aberration-corrected imaging velocimetry.
Speckle Structured Illumination of Dynamic Samples with a Neural Space-time Model
Authors: Cao Ruiming , Meng Guanghan , Waller Laura
Published: November 2023

We propose a structured illumination microscopy (SIM) method, Speckle Flow SIM, that uses static speckle illumination with a dynamic sample and reconstructs super-resolved images via a neural space-time model, without sacrificing temporal resolution.
Detecting Changes to Sub-Diffraction Objects with Quantum-Optimal Speed and Accuracy
Authors: Grace Michael R , Guha Saikat , Dutton Zachary
Published: November 2023

Detecting if and when objects change is difficult in passive sub-diffraction imaging of dynamic scenes. We show analytically and in simulation that a spatial-mode-sorting imager can achieve quantum-limited detection latencies for a fixed false-alarm rate, enabling faster change detection than direct focal-plane imaging.
Quantitative Speckle Analysis to Estimate Surface Particle Size Distribution
Authors: Zhang Qihang , Gamekkanda Janaka C. , Pandit Ajinkya , Tang Wenlong , Papageorgiou Charles , Nazemifard Neda , Yang Yihui , Schwaerzler Michael , Oyetunde Tolutola , Braatz Richard D. , Myerson Allan S. , Barbastathis George
Published: November 2023

We established a relationship between speckle autocorrelations and surface statistics. A machine learning algorithm is developed based on this relationship to estimate the powder particle size distribution from laser speckle patterns.
Deep-optics-based Snapshot Multispectral Microscopy for ACA Correction
Authors: Correa Claudia V. , Marquez Miguel , Hinojosa Carlos , Arguello Henry , Meza Pablo
Published: November 2023

Spectral microscopy suffers from axial chromatic aberrations (ACA). Deep optics is here used to design the PSF of a snapshot multispectral microscope based on a deformable mirror, to overcome ACA-related artifacts in the recovered data.
Computational 3D surface microscopy from terabytes of data with a self-supervised reconstruction algorithm
Authors: Zhou Kevin C. , Harfouche Mark , Zheng Maxwell , Jönsson Joakim , Lee Kyung Chul , Appel Ron , Reamey Paul , Doman Thomas , Saliu Veton , Horstmeyer Gregor , Horstmeyer Roarke
Published: November 2023

We present a computational 3D profilometric microscope employing an array of 54 cameras and 3-axis scanning to produce multi-TB datasets per sample. Using stereo and sharpness cues, our self-supervised reconstruction algorithm generates 6-gigapixel reconstructions with micron-scale resolution across >110 cm2.
Lost in Translation: The Critical Role of Attention in Adaptive Image Reconstruction
Authors: Wickremasinghe L. T. N. , Niwarthana D. S. P. A. , Somarathne P. M. P. H. , Thieshanthan A. , Weissbourd Brandon , Edussooriya C. U. S. , Wadduwage Dushan N.
Published: November 2023

We propose a novel attention-based deep learning framework for reconstructing images from compressively sensed measurements. Our method leverages knowledge of the sampling basis and structured sampling patterns, highlighting the importance of learning adaptive features from measurements.
In vivo diffraction tomography of retinal cells using angle-resolved AOSLO
Authors: Feng Guanping , Schallek Jesse
Published: November 2023

We demonstrate an angle-resolved AOSLO to image the 4D phase-space function of transparent retinal structures in vivo. A 3D phase tomographic image is then reconstructed with a slice-wise deconvolution based on the first-order Born approximation.
Multiwavelength Holography: Absolute Height Measurements Ready for Application in Gear Metrology
Authors: Schiller Annelie , Fratz Markus , Seyler Tobias , Bertz Alexander , Carl Daniel
Published: November 2023

So far, it has been almost impossible to determine axial distance between two holographic measurements without overlap. We present gear measurements detecting the absolute tip-position in the sensor coordinate system better than 3.5 µm.
Underwater digital holography of plankton with advanced monitoring capabilities for bioindication in situ
Authors: Dyomin V.V. , Davydova A.Y. , Polovtsev I.G.
Published: November 2023

The study presents a bioindication technology based on the underwater digital holography with advanced capabilities for plankton and its behavioral characteristics monitoring in situ. The long-term digital holographic experiment on biotesting was performed in the water area in the Arctic.
Optical tomography-guided system for pre-clinical radiotherapy research
Authors: Wang Ken Kang-Hsin , Xu Xiangkun , Deng Zijian , Tong Zhishen , Tsai Yupei , Iordachita Iulian , Dehghani Hamid , Wong John W.
Published: November 2023

We advance the in vivo cancer imaging capability of small animal irradiators to include bioluminescence and fluorescence tomography. The imaging system is expected to enhance preclinical radiation guidance and assessment for anatomical and functional targets.
Perceptually lossless compression of bi-level holograms using adaptive Markovian models
Authors: Muhamad Raees K. , Birnbaum Tobias , Blinder David , Schretter Colas , Schelkens Peter
Published: November 2023

We propose a perceptually lossless, lightweight binary hologram compression framework based on fixed template Markovian models. The framework can be utilized for low latency display side compression and/or archival.
Edge Extraction in Off-Axis Optical Scanning Holography
Authors: Yao Yongwei , Zhang Yaping , Liu Jung-Ping , Poon Ting-Chung
Published: November 2023

We propose the use of a structured beam in off-axis optical scanning holography to record the edge information of an object. Simulation results verify our proposed technique.
Condition for Equality of Discrete Signals and Its Application in Digital Holography
Authors: Grebenyuk Konstantin A.
Published: November 2023

This paper describes a sufficient and necessary condition for equality of discrete signals and demonstrates application of this condition to comparative analysis of mathematical models of digital image sensor used in digital holography.
Numerical simulation of digital lensless holographic microscopy holograms through a modified Angular Spectrum algorithm
Authors: Lopera Maria J. , Trujillo Carlos
Published: November 2023

We present a numerical method to simulate digital lensless holographic microscopy (DLHM) holograms based on a modification of the angular spectrum formalism. The method has been successfully contrasted with experimentally recorded DLHM holograms.
Laser-Driven Quasi-Static Magnetic Fields for Magnetized High Energy-Density Experiments
Authors: Vlachos C. , Ospina-Bohorquez V. , Bradford P. , Pérez-Callejo G. , Ehret M. , Guillon P. , Lendrin M. , Vaisseau X. , Albertazzi B. , Soussan E. , Koenig M. , Malko S. , Fedosejevs R. , Kaur C. , Bailly-Grandvaux M. , Walsh C. A. , Florido R. , Suzuki-Vidal F. , McGuffey C. , Beg F. N. , Saret J. , Chodukowski T. , Pisarczyk T. , Rusiniak Z. , Dostal J. , Dudzak R. , Calisti A. , Ferri S. , Volpe L. , Gremillet L. , Santos J.J.
Published: November 2023

Analysis of experimental RCF data from dual axis proton deflectometry in laser-driven coils, identifies for the first time deflection features that can be attributed to the looping current or the static charges.
Aberration-free high bandwidth digital holography
Authors: Huang Zhengzhong , Cao Liangcai
Published: November 2023

We proposed a high-bandwidth holographic microscope. An alternating direction aberration-free framework is imported to achieve faithful phase reconstruction. It performs scan-free and full sampling bandwidth quantitative optical imaging without imposing any constraints on the sample.
Proposal for a standardized database for assessment of de-noising, unwrapping, and inpainting algorithms in digital holographic interferometry
Authors: Kieber Rémi , Montresor Silvio , Joly Nicolas , Picart Pascal
Published: November 2023

This paper presents the principle of a database consisting in a large number of phase maps, both in their noise-free and noisy versions. The goal is to provide to the community an open access database that is sufficiently diverse for evaluating performances of de-noising, phase unwrapping and inpainting algorithms in digital holography and speckle-based metrology.
Optical implementation of spherical holographic display
Authors: Wang Mohan , Wu Yang , Wang Jun
Published: November 2023

This paper presents an optical implementation of spherical holographic display by a planar SLM and a convex parabolic mirror. It can achieve a viewing angle of 360° and 180° in azimuth and latitudinal direction, respectively.
Efficient metalens for VUV light collection applications
Authors: Martins Augusto , Stanford Chris , Contreras Taylor , Escobar Carlos , Para Adam , Stancari Michelle D , Simon Justo Martin-Albo , Park Joon-Suh , Capasso Federico , Guenette Roxanne
Published: November 2023

We demonstrate a high efficient metalens designed to operate at VUV (175 nm) wavelengths. This wavelength is typically found in scintillation light detection used in high energy physics experiments.
SNAP-DDM: Specialized Neural Accelerator-Powered Domain Decomposition Methods
Authors: Mao Chenkai , Chen Mingkun , Lupoiu Robert , Fan Jonathan A.
Published: November 2023

We propose SNAP-DDM, a general DDM electromagnetic solver where an ensemble of specialized neural operators is trained to accelerate the solving of subdomain problems containing arbitrary boundary conditions and geometric parameters.
Full color Imaging with Large-Aperture Meta-Optics
Authors: Majumdar Arka
Published: November 2023

By exploiting computational backend, coupled with a designer meta-optics we demonstrate high-quality imaging using a single meta-optics with an aperture of 1cm.
Metasurface-Enabled Polarization Modulation for Multidimensional Information Encryption and Decryption
Authors: Wang Hao , Pan Cheng-Feng , Wang Hongtao , Yang Joel K.W.
Published: November 2023

Metasufaces provide a great platform to manipulate the polarization of light with localized polarization response. With this ability, we realized multiple information encryption via polarization, illumination condition, and polarization conversion, also achieved differential imaging.
Developing a Platform for Creating Metasurface-based and other Flat Optics
Authors: Godet Ludovic , Thijssen Rutger , Fu Jinxin , Hourani Rami , Doshay Sage , Visser Robert J , Chen Guannan , Sell David , Du Leslie
Published: November 2023

Using its over 50 years of semiconductor experience, Applied Materials is developing a platform for large-scale fabrication of flat optical devices on glass substrates. We discuss new materials and techniques to create nanostructured optical devices.
Iron Pyrite Antennas for Mid-Infrared Narrowband Thermal Emitters
Authors: Islam Md Sakibul , Babicheva Viktoriia E.
Published: November 2023

Iron pyrite is studied as a potential thermal emitter in the mid-infrared spectral range. We show absorption losses can be harnessed to tailor the emissivity of the thermal emitter based on multipole resonance and nonradiative losses.
Spectral Routers for Snapshot Imaging
Authors: Catrysse Peter B. , Fan Shanhui
Published: November 2023

We introduce spectral routers for snapshot multispectral imaging. Spectral routers, unlike filters, do not reject light to select spectral content and can achieve ideal spectral selectivity without loss of photons within a wavelength size footprint.
Simultaneous Multicolor Spectroscopic Single-molecule Localization Microscopy Image Reconstruction using Machine Learning
Authors: Gaire Sunil Kumar , Flowerday Ethan , Frederick Jane , Gong Ruyi , Ying Leslie , Zhang Hao F. , Backman Vadim
Published: November 2023

We present all machine learning-based reconstruction approach for simultaneous multicolor spectroscopic super-resolution microscopy. Machine learning is used for localization and spectral classification. Reconstruction of the simultaneous two-color imaging of the nanoruler sample with a mark-to-mark distance of 40 nm is presented.
Automatic Acquisition System of Fiber Optic Speckle Patterns with Temperature Variations
Authors: Arango Juan , Aristizabal Victor , Carrasquilla Juan , Gomez Jorge , Quijano Jairo , Vélez Francisco , Gomez Miguel , Herrera-Ramirez Jorge
Published: November 2023

Specklegrams in an optical fiber vary with respect to different disturbances. In this work, an automated system based on Proportional-Integral-Derivative control was developed to acquire specklegrams with temperature variations with 0.45 °C resolution.
Spectral Imaging based Condition Assesment of Field Aged Power Transformers
Authors: Zumri I.Z.M. , Mahmood M.L.A.S. , S. Bandara , Fernando M.A.R.M. , Godaliyadda G.M.R.I. , Herath H.M.V.R. , Ekanayake M.P.B. , Kumara J.R.S. , Bandara K.M.K.S.
Published: November 2023

Multispectral imaging is used to develop a functional relationship for determining the interfacial tension value of transformer oil. This is beneficial for monitoring power transformers to ensure a reliable supply of electrical power.
High fidelity laser beam shaping using liquid crystal on silicon spatial light modulators as diffractive neural networks
Authors: Buske Paul , Hofmann Oskar , Bonnhoff Annika , Stollenwerk Jochen , Holly Carlo
Published: November 2023

Spatial light modulators (SLMs) based on liquid crystal on silicon (LCoS) are powerful tools for laser beam shaping as they can be used to dynamically create almost arbitrary intensity distributions. However, laser beam shaping with LCoS-SLMs often suffers from beam shaping artifacts in part caused by unconsidered properties of the LCoS devices: astigmatism that stems from the non-normal incidence of the laser beam on the SLM and the effect commonly referred to as the ’0-th diffraction order’ that is caused by both the crosstalk between neighboring pixels and the direct reflection at the cover glass of the SLM. We here present a method to consider and compensate for these inherent properties of LCoS devices by treating the SLM as a diffractive neural network.