PATENT CLAIM ANALYSIS

Application Number: 16258550
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["382", "129000"]

Abstract:
The present disclosures relates to a method of detecting, classifying, and counting dots in an image of a tissue specimen comprising detecting dots in an image of the tissue sample that meet criteria for absorbance strength, black unmixed image channel strength, red unmixed image channel strength, and a difference of Gaussian threshold, wherein the detected dots correspond to in situ hybridization signals in the tissue samples; classifying the detected dots as belonging to a black in situ hybridization signal or to a red in situ hybridization signal; and calculating a ratio of those dots belonging to the black in situ hybridization signal and those belonging to the red in situ hybridization signal.

Claim (Index 19):
The computer-implemented method of  claim 16 , the ratio is calculated based on a count of red dot blobs and black dot blobs, wherein the red dot blobs are identified by connected components labeling of all classified dots belonging to the red in situ hybridization signal and wherein the black dot blobs are identified by connected components labeling of all classified dots belonging to the black in situ hybridization signal.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.37255
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15659481', '15659491', '15659652', '15819676', '14372673']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3897557133302236
- 35 USC 102 Novelty (BERT): 0.6018475486341394
- Combined Prediction Score: 0.4109648968606152
- Mean Citation Score: 354.242398
- Max Citation Score: 611.919
- Similarity Product: 441.3102864425183

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