PATENT CLAIM ANALYSIS

Application Number: 15963819
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-04
Patent Classification: ["422", "536000"]

Abstract:
A smear staining machine and a smearing control method and device thereof. The viscosity of the test sample is used for guiding the configuration of at least on smearing parameter. Since the viscosity of the test sample presents multiple influences of many effecting parameters, it is more suitable for presenting the characteristics of the test sample. Therefore, better smearing effect could be acquired by referring the viscosity of the test sample to get the smearing parameter.

Claim (Index 1):
A smear staining machine, comprising:\n a sampling pipeline operable to draw a test sample; an injector operable to drive the sampling pipeline to draw or discharge the test sample; a smearing mechanism operable to drop the test sample on a slide and extending the test sample as a film according to a smearing parameter; and a processor, electrically connecting with the injector and the smearing mechanism respectively, operable to control the injector driving a drawing action or a discharging action of the sampling pipeline, acquiring the smearing parameter according to a viscosity of the test sample and controlling the smearing mechanism to smear according to the smearing parameter.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 91.0
- Lexical Diversity: 1.64
- Patent Class: 422.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15271089', '13044145', '10177125', '10989172', '11172035']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.775506000215577
- 35 USC 102 Novelty (BERT): 0.5261162862766094
- Combined Prediction Score: 0.7505670288216804
- Mean Citation Score: 201.865176
- Max Citation Score: 384.46887
- Similarity Product: 283.64995002100113

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