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 13):
The non-transitory computer-readable medium for storing computer-executable instructions of  claim 12 , wherein the ratio is calculated based on a count of first dot blobs and second dot blobs, wherein the first dot blobs are identified by connected components labeling of all the classified dots belonging to the first in situ hybridization signal and wherein the second dot blobs are identified by connected components labeling of all the classified dots belonging to the second 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): 0.3910622401073271
- 35 USC 102 Novelty (BERT): 0.598355375641247
- Combined Prediction Score: 0.4117915536607191
- Mean Citation Score: 354.242398
- Max Citation Score: 611.919
- Similarity Product: 429.3711443667412

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