[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Crane, 2011 - Google Patents

Automated quantitative phenotyping and high-throughput screening in Caenorhabditis elegans using microfluidics and computer vision

Crane, 2011

View PDF
Document ID
3944072552834788882
Author
Crane M
Publication year

External Links

Snippet

Due to the large extent to which important biological mechanisms are conserved evolutionarily, the study of a simple soil nematode, C. elegans, has provided the template for significant advances in biology. Use of this model organism has accelerated in recent years …
Continue reading at core.ac.uk (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Electro-optical investigation, e.g. flow cytometers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology

Similar Documents

Publication Publication Date Title
Crane et al. Autonomous screening of C. elegans identifies genes implicated in synaptogenesis
Marques et al. Internal state dynamics shape brainwide activity and foraging behaviour
WO2009039284A1 (en) Systems and methods for high-throughput detection and sorting
Moshkov et al. Learning representations for image-based profiling of perturbations
Chung et al. Automated on-chip rapid microscopy, phenotyping and sorting of C. elegans
WO2006123137A1 (en) Cell analysis
WO2021231978A1 (en) Method and system for predicting cellular aging
Pennekamp et al. Dynamic species classification of microorganisms across time, abiotic and biotic environments—A sliding window approach
WO2022061176A1 (en) Methods and systems for predicting neurodegenerative disease state
Constantinou et al. Self-learning microfluidic platform for single-cell imaging and classification in flow
Jones et al. Automated staging of zebrafish embryos with deep learning
CN104232468A (en) Laser array coded and photoinduced cell separation device
Crane Automated quantitative phenotyping and high-throughput screening in Caenorhabditis elegans using microfluidics and computer vision
Fishman et al. Segmenting nuclei in brightfield images with neural networks
Kalmady et al. Improved transfer learning through shallow network embedding for classification of leukemia cells
Tscherepanow et al. An incremental approach to automated protein localisation
Zhan New toolsets to understand environmental sensation and variability in the aging process
Sarra et al. Maximum entropy models for patterns of gene expression
Brown et al. Automated behavioural fingerprinting of C. elegans mutants
Giampaglia et al. Classification of biological cells using bio-inspired descriptors
Zargari Deep Learning Approaches for Cell Segmentation and Tracking in Time-Lapse Microscopy
Collignon Multiscale Modeling and Deep Learning for Complex Microbial Colonies
Guignard Quantitative analysis of animal morphogenesis: from high-throughput laser imaging to 4D virtual embryo in ascidians
Wu et al. DynaMorph: self-supervised learning of morphodynamic states of live cells
Crane et al. Autonomous screening implicates new genes in synaptogenesis of C. elegans