PATENT CLAIM ANALYSIS

Application Number: 15886925
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
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 1):
A system for classifying particles in a water sample, system comprising:\n an optical detection assembly comprising at least one image acquisition device and corresponding lens with an optical axis, the image acquisition device is configured to acquire images of an image acquisition area perpendicular to the optical axis; a sample device comprising at least one sample container suitable for holding a water sample in liquid form comprising particles; a translating arrangement configured to translate said image acquisition area through at least a part of said sample container with a step length between each acquired image; a controller configured to control said optical detection assembly and said translating arrangement to acquire images of a plurality of image acquisition areas; an image processor programmed to analyze said acquired images and to determine a set of features for an individual particle captured by said acquired images by creating objects of the individual particle and assigning each of the objects to a corresponding stack of objects comprising different images of the individual particle; and an artificial intelligent processor programmed to associate said set of features for said individual particle to a particle classification of particles, wherein said step length between each acquired image is used to determine a distance between the objects in the stacks of objects.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 88.0
- Lexical Diversity: 3.0
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14654347', '14299329', '13132713', '14091035', '13513500']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3245474869217499
- 35 USC 102 Novelty (BERT): 0.5478137443059021
- Combined Prediction Score: 0.3468741126601651
- Mean Citation Score: 221.948012
- Max Citation Score: 404.0681
- Similarity Product: 386.8013413873136

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