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 4):
The method of  claim 1 , further comprising the steps of,\n (e) evaluating the smoothness of each pixel of the colored components in relative to a local area of the pixel by,\n (e-1) determining the magnitude of image gradients M(x,y) of each pixel according to equation 3:\n M ( x,y )=\u221a{square root over ( G x 2 +G y 2 )}.\u2003\u2003(equation 3), \n \n where G x =\u2202f/\u2202x and G y =\u2202f/\u2202y, Gx and Gy respectively represent the image gradients in x and y directions, and\n (e-2) determining the smoothness \u03c3 (x,y) of each pixel according to equation 4: \n \u03c3 \ue8a0 ( x , y ) = 1 N - 1 \ue89e \u2211 x \ue89e \u2211 y \ue89e ( M \ue8a0 ( x , y ) - \u03bc ) 2 , ( equation \ue89e \ue89e 4 ) where N is the total number of pixels and p is the mean pixel value in the local area; and (f) determining the presence of a vague region R that satisfies the criterion of equation 5:\n R ={( x,y ):\u03c3( x,y )\u2265 T} \u2003\u2003(equation 5).

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): 0.2940599896317422
- 35 USC 102 Novelty (BERT): 0.4993831142077558
- Combined Prediction Score: 0.3145923020893436
- Mean Citation Score: 201.445584
- Max Citation Score: 256.34906
- Similarity Product: 188.6768659417272

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

Dataset: test