PATENT CLAIM ANALYSIS

Application Number: 16231650
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["382", "133000"]

Abstract:
A particle classifier system and a method of training the system are described. The particle classifier system is suitable for classification of particles in a liquid sample, said particle classifier system comprises an optical detection assembly comprising at least one image acquisition device with an optical axis, the image acquisition device is configured to acquire images of an image acquisition area perpendicular to said optical axis; a sample device comprising at least one sample container suitable for holding a sample in liquid form; a translating arrangement configured to translate said image acquisition area through at least a part of said sample container; a control system configured to controlling said optical detection assembly and said translating unit to acquire images of a plurality of image acquisition areas; an image analyzing processing system programmed to analyze said acquired images by a method comprising creating objects (sub-images) of individual particles captured by said acquired images, creating stacks of objects of each individual particle, identifying complete stacks of objects comprising at least one object wherein said particle is in-focus, and two objects wherein said particle is out-of-focus, and determining, for each of said complete stacks of objects, a set of values for a set of features of at least N features, wherein N is larger than or equal to 1, and wherein the determination of said values of said set of features involve data obtained from said at least one object wherein said particle is in-focus, and/or said at least two objects wherein said particle is out-of-focus; and      an artificial intelligent processing system programmed to associate said set of values for said determined set of features for each individual particle to a particle classification.

Claim (Index 8):
The system as claimed in  claim 1 , wherein said image processor is programmed to determine values for a set of features comprising at least one of features relating to out-of-focus objects, features relating to grayscale versions of in-focus objects, features relating to thresholded versions of in-focus objects, and features relating to both in-focus and out-of-focus objects.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 98.0
- Lexical Diversity: 3.0
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15886925', '14654347', '14299329', '13132713', '14091035']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3507713215774885
- 35 USC 102 Novelty (BERT): 0.5481633654404451
- Combined Prediction Score: 0.3705105259637842
- Mean Citation Score: 269.822366
- Max Citation Score: 408.61353
- Similarity Product: 378.4649276839757

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