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 9):
The system of  claim 1 , wherein the detection of dots further comprises performing one or more morphological operations on a perspective set of dot pixels.

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): 0.3880622671421413
- 35 USC 102 Novelty (BERT): 0.6063649613782826
- Combined Prediction Score: 0.4098925365657554
- Mean Citation Score: 354.242398
- Max Citation Score: 611.919
- Similarity Product: 456.807098819375

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