PATENT CLAIM ANALYSIS

Application Number: 15862394
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["210", "094000"]

Abstract:
A system and method for detection of cells is disclosed. Target cells, such as circulating tumor cells (CTCs), may be of interest. Magnetic beads may be bound to the target cells. After which, the target cells (with the magnetic beads attached thereto) may be identified using an applied magnetic field. In one example, magnetic sensors may be used to detect movement of the target cells responsive to an applied magnetic field. In another example, an optical sensor (such as a camera) may be used to detect movement of the target cells responsive to an applied magnetic field. Further, separate from identification of the target cells, the target cells may be sorted using an applied magnetic field. In this way, a magnetic field may be used in either or both of target cell identification or target cell sorting in order to detect target cells of interest.

Claim (Index 18):
The method of  claim 16 , wherein a first magnetic field and a second magnetic field are applied, the second magnetic field being different from the first magnetic field, the second magnetic field being generated by at least one wire arranged based on a shape of an edge of the reservoir.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 86.0
- Lexical Diversity: 2.49254
- Patent Class: 210.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14001963', '15343908', '13284482', '12333213', '15355792']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7598254238279922
- 35 USC 102 Novelty (BERT): 0.4983012680891259
- Combined Prediction Score: 0.7336730082541056
- Mean Citation Score: 160.70386200000004
- Max Citation Score: 170.21258999999995
- Similarity Product: 104.96185490564343

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