Method for Detecting Clusters of Biological Particles

Patent №

US 8,855,397

Granted

2014-10-07

Filed 2012

Owner

COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

+1 more

Lab

—

AI components

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13639593

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The invention relates to a method for detecting clusters of biological particles (12) on a surface (11), comprising steps that involve: a. determining (E1) a topographical representation (20) of said surface; and b. detecting (E3, E4), on said topographical representation, at least one contour defining a region that is likely to correspond to a cluster of biological particles.

VisionC12Q 1/04C12Q 1/06G01N 33/483G01N 2333/195

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AI classification

Vision0.99

Machine learning0.02

AI hardware0.01

Natural language0.00

Evolutionary computation0.00

Knowledge representation0.00

Planning0.00

Speech0.00

Ownership

COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

assignment · 294820473

BIOMERIEUX

assignment · 294820473

Assignors

MOY, JEAN-PIERRE, DUPOY, MATHIEU, FIGADERE, OLIVIER, PINSTON, FREDERIC, BOSSY, GENEVIEVE, DRAZEK, LAURENT, GUICHERD, MARYSE, ROMANENS, FABIEN, MALLARD, FREDERIC

On an employer assignment, the assignors are typically the inventors.

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Cited by (9)

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Related research

A supervised graph-based deep learning algorithm to detect and quantify clustered particles.Semantic Scholar Detection and Segmentation Of Shape-Coded Particles Via Hough Transforms and Snake Active ContoursOpenAlex Machine learning techniques applied for the detection of nanoparticles on surfaces using coherent Fourier scatterometry.arXiv An Irregular Spatial Cluster Detection Combining the Genetic AlgorithmSemantic Scholar Deep Learning Enables High-Throughput Analysis of Particle-Aggregation-Based Biosensors Imaged Using HolographyarXiv

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