PATENT CLAIM ANALYSIS

Application Number: 15878277
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["382", "128000"]

Abstract:
A system for quantitative detection and analysis of the interactions of molecules with molecular receptors on the surfaces of biological cells based on detecting a mechanical deformation in the membrane of a cell associated with the molecular interactions, which works for both large and small molecules. The mechanical deformation can be detected with high precision in real time from an optical image of the cell with a differential detection method. The system can be also used to detect the electrical activities, such as ion channel opening and closing, as well as action potential propagation in neuronal cells.

Claim (Index 7):
A method for quantitative detection and analysis of the binding of neuron stimulator molecules with molecular receptors on the surfaces of a neuron, the method comprising:\n operating a microscope and a sensor to capture a time sequence of images of a biological object; operating a processor to quantitatively determine mechanical deformation of the neuron from the time sequence of images due to interaction of the neuron with a plurality of neuron stimulator molecules, wherein determining the mechanical deformation comprises operating an edge detector for determining an edge of the biological object and tracking a plurality of movements of the edge by measuring positions of the edge at different times; and operating the processor to determine molecular binding kinetic values of the neuron as proportional to the mechanical deformation of the neuron.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 1.58462
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14968331', '12749056', '15223365', '14069696', '12321360']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2198751735196185
- 35 USC 102 Novelty (BERT): 0.6484947209665637
- Combined Prediction Score: 0.262737128264313
- Mean Citation Score: 253.12546
- Max Citation Score: 604.23505
- Similarity Product: 585.6930484741271

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