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 7):
The tangible computer-readable storage medium of  claim 6 , wherein the unsharp masking is performed by applying an unsharp mask according to equation 1:\n f s ( x,y )| f ( x,y )\u2212 f ( x,y )* G \u03c3 |\u2003\u2003(equation 1), where the f s (x,y) is the enhanced image, x and y are the image coordinates, * represents the image convolution, and G \u03c3  is the Gaussian filter with the standard deviation \u03c3 and the filter size of 2\u03c3+1.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 88.0
- Lexical Diversity: 1.36111
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15800047', '14258971', '15498172', '13214782', '12962468']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3175616575578157
- 35 USC 102 Novelty (BERT): 0.5111355169604326
- Combined Prediction Score: 0.3369190434980774
- Mean Citation Score: 201.445584
- Max Citation Score: 256.34906
- Similarity Product: 161.6762331000066

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

Dataset: test