PATENT CLAIM ANALYSIS

Application Number: 15928992
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["382", "128000"]

Abstract:
A method and apparatus for using deep learning in label-free cell classification and machine vision extraction of particles. A time stretch quantitative phase imaging (TS-QPI) system is described which provides high-throughput quantitative imaging, and utilizing photonic time stretching. In at least one embodiment, TS-QPI is integrated with deep learning to achieve record high accuracies in label-free cell classification. The system captures quantitative optical phase and intensity images and extracts multiple biophysical features of individual cells. These biophysical measurements form a hyperdimensional feature space in which supervised learning is performed for cell classification. The system is particularly well suited for data-driven phenotypic diagnosis and improved understanding of heterogeneous gene expression in cells.

Claim (Index 3):
The method as recited in  claim 2 , wherein the step of heuristically optimizing the weights of the ANN includes calculating new weights via implementations of genetic algorithms that model the weights of the ANN where the new weights are selected based on a fitness value derived from the property of the ROC.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.53165
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15016217', '15263419', '13181150', '15672051', '13109640']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2724996120029522
- 35 USC 102 Novelty (BERT): 0.5157600983320455
- Combined Prediction Score: 0.2968256606358616
- Mean Citation Score: 126.8900548
- Max Citation Score: 153.82976000000005
- Similarity Product: 79.00795372291567

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test