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 18):
The method of  claim 14 , wherein the trained CNN model is established by a training method comprising the steps of,\n (1) selecting a region of a training image as a template image; (2) manually classifying the template image as belonging to one of the plurality of classes; (3) producing a training set comprising a plurality of template images from a plurality of training images by repeating steps (1) and (2); (4) using the plurality of template images of the training set as inputs to train an CNN architecture to obtain the trained CNN model.

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): 0.2912563411274605
- 35 USC 102 Novelty (BERT): 0.5151188258763085
- Combined Prediction Score: 0.3136425896023453
- Mean Citation Score: 201.445584
- Max Citation Score: 256.34906
- Similarity Product: 143.7337412420797

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