PATENT CLAIM ANALYSIS

Application Number: 16213424
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["348", "142000"]

Abstract:
There are provided a microparticle measuring device capable of analyzing microparticles with increased accuracy and a microparticle analysis method. According to a microparticle measuring device  1 , transmission images of microparticles in the liquid sample are captured by a plurality of image capturing units that are disposed in mutually different orientations with respect to a liquid feed pipe when viewed in a cross section orthogonal to the flowing direction of a liquid sample in the liquid feed pipe, and the microparticles are analyzed by an analyzing unit on the basis of the transmission images.

Claim (Index 11):
The microparticle measuring device according to  claim 1 ,\n wherein the plurality of image capturing units are disposed so as to capture the transmission images at an identical position in a flowing direction of the liquid sample in the liquid feed pipe and are configured to acquire information on shapes of the microparticles, and wherein the analyzing unit is configured to identify, based on the transmission images of the microparticles captured by the image capturing units, the microparticles by using a statistical technique, machine learning, or pattern recognition.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 98.0
- Lexical Diversity: 1.7963
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14763980', '10734753', '14667465', '15256997', '13635304']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6489967896331647
- 35 USC 102 Novelty (BERT): 0.4727901974199187
- Combined Prediction Score: 0.63137613041184
- Mean Citation Score: 170.98625800000005
- Max Citation Score: 187.20073
- Similarity Product: 147.3405539254415

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