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 2):
The smear staining machine of  claim 1 , further comprising:\n a detector, configured on the sampling pipeline and a output terminal of the detector couples to the process, operable to detect a viscosity characteristic of the test sample flowing through the pipeline under a preset condition, wherein the viscosity characteristic is a physical quantity influenced by the viscosity of the test sample when the test sample flows, and the physical quantity is a function of viscosity; the processor receives the viscosity characteristic of the test sample from the detector, processes the viscosity characteristic to generate a processing result and determines the smearing parameter according to the processing result.

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): 0.7743951152081094
- 35 USC 102 Novelty (BERT): 0.5273086178096652
- Combined Prediction Score: 0.749686465468265
- Mean Citation Score: 201.865176
- Max Citation Score: 384.46887
- Similarity Product: 330.7730535787207

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