PATENT CLAIM ANALYSIS

Application Number: 15909699
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["356", "072000"]

Abstract:
The present invention relates to a method and system for identifying mechanical properties of a cell nucleus through a label-free cell analysis based on Brillouin light scattering techniques. The present application additionally provides a method and system for identifying cancerous cells based on mechanical properties of the cell nucleus.

Claim (Index 2):
The method of  claim 1 , wherein the label-free cytometry comprises the steps of:\n illuminating the sample by a light beam along a first direction; collecting a Brillouin scattered light emitted from the sample in response to the illuminating light beam; sending the Brillouin scattered light to an optical arrangement to induce a spectral dispersion and to a detection unit to generate a spatio-spectral pattern of the Brillouin scattered light, wherein the optical arrangement and the detection unit are positioned along a second direction;\n detecting the spatio-spectral pattern of the Brillouin scattering light onto the detection unit, wherein multiple points of the sample along the illuminating light beam are measured simultaneously; wherein at least one of the multiple points of the sample is a cell nucleus; \n calibrating the spectral pattern at each spatial point at the detection unit; and calculating the one or more Brillouin metrics at each measured sample point based on the detected spatio-spectral pattern.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 1.59375
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15388582', '12114081', '14683066', '16318845', '11672571']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6205918703882316
- 35 USC 102 Novelty (BERT): 0.6315602436688897
- Combined Prediction Score: 0.6216887077162974
- Mean Citation Score: 283.921224
- Max Citation Score: 603.67206
- Similarity Product: 548.8410855594527

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

Dataset: test