PATENT CLAIM ANALYSIS

Application Number: 15925600
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["435", "091200"]

Abstract:
Methods, systems, and devices are described for multiple single-cell capturing and processing utilizing microfluidics. Tools and techniques are provided for capturing, partitioning, and/or manipulating individual cells from a larger population of cells along with generating genetic information and/or reactions related to each individual cell. Different capture configurations may be utilized to capture individual cells and then processing each individual cell in a multi-chamber reaction configuration. Some embodiments may provide for specific target amplification, whole genome amplification, whole transcriptome amplification, real-time PCR preparation, copy number variation, preamplification, mRNA sequencing, and/or haplotyping of the multiple individual cells that have been partitioned from the larger population of cells. Some embodiments may provide for other applications. Some embodiments may be configured for imaging the individual cells or associated reaction products as part of the processing. Reaction products may be harvested and/or further analyzed in some cases.

Claim (Index 22):
The method of  claim 14 , wherein the multi-step reaction of step (b) is performed across multiple chambers for each cell.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 1.81818
- Patent Class: 435.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13781318', '13781307', '13781313', '13781292', '15055252']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6742865368160111
- 35 USC 102 Novelty (BERT): 0.5321383614158834
- Combined Prediction Score: 0.6600717192759984
- Mean Citation Score: 337.660562
- Max Citation Score: 372.92615
- Similarity Product: 212.3351743042141

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

Dataset: test