PATENT CLAIM ANALYSIS

Application Number: 15894945
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "133000"]

Abstract:
Disclosed herein are methods for identifying cells undergoing reprogramming and reprogrammed cells from a fluorescence microscopic image of one or more cells. According to some embodiments, the method includes an image processing step, a cell detection step, and, optionally, a clustering step.

Claim (Index 14):
A method for identifying and tracing cells undergoing reprogramming and reprogrammed cells from a fluorescence microscopic image of one or more cells, comprising the steps of,\n (a) for every pixel of the fluorescence microscopic image, capturing an image of region of interest (ROI) of the pixel; (b) applying a trained convolutional neural network (CNN) model to the ROI to calculate the respective probabilities of the pixel belonging to any of a plurality of classes, wherein each of the plurality classes indicate a cell clustering pattern of the ROI; and (c) obtaining a plurality of probability maps that respectively indicate the probabilities of the plurality of classes at every pixel of the fluorescence microscopic image.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 88.0
- Lexical Diversity: 1.36111
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15800047', '14258971', '15498172', '13214782', '12962468']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2930608796103509
- 35 USC 102 Novelty (BERT): 0.5049819737680641
- Combined Prediction Score: 0.3142529890261223
- Mean Citation Score: 201.445584
- Max Citation Score: 256.34906
- Similarity Product: 172.69003996349812

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test