[go: up one dir, main page]

Tosi et al., 2021 - Google Patents

AutoScanJ: a suite of ImageJ scripts for intelligent microscopy

Tosi et al., 2021

View HTML
Document ID
10182100337803139452
Author
Tosi S
Lladó A
Bardia L
Rebollo E
Godo A
Stockinger P
Colombelli J
Publication year
Publication venue
Frontiers in bioinformatics

External Links

Snippet

We developed AutoscanJ, a suite of ImageJ scripts enabling to image targets of interest by automatically driving a motorized microscope at the corresponding locations. For live samples, our software can sequentially detect biological events from their onset and further …
Continue reading at www.frontiersin.org (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • G01N33/5008—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64—Fluorescence; Phosphorescence
    • G01N21/645—Specially adapted constructive features of fluorimeters
    • G01N21/6456—Spatial resolved fluorescence measurements; Imaging
    • G01N21/6458—Fluorescence microscopy
    • 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
    • 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

Similar Documents

Publication Publication Date Title
Morris The evolving concept of cell identity in the single cell era
Boutin et al. A high-throughput imaging and nuclear segmentation analysis protocol for cleared 3D culture models
Fan et al. SpatialDB: a database for spatially resolved transcriptomes
Arena et al. Quantitating the cell: turning images into numbers with ImageJ
Burel et al. A targeted 3D EM and correlative microscopy method using SEM array tomography
Gritti et al. MOrgAna: accessible quantitative analysis of organoids with machine learning
Shah et al. Single-molecule RNA detection at depth by hybridization chain reaction and tissue hydrogel embedding and clearing
Colin et al. Quantitative 3D-imaging for cell biology and ecology of environmental microbial eukaryotes
Sigal et al. Mapping synaptic input fields of neurons with super-resolution imaging
Carpenter Image-based chemical screening
Tosi et al. AutoScanJ: a suite of ImageJ scripts for intelligent microscopy
JP5888521B2 (en) Method for automated tissue analysis
Shav-Tal et al. Imaging gene expression in single living cells
Smith et al. Nuclear accessibility of β-actin mRNA is measured by 3D single-molecule real-time tracking
Martinez et al. High-throughput fluorescence imaging approaches for drug discovery using in vitro and in vivo three-dimensional models
Combes et al. An integrated pipeline for the multidimensional analysis of branching morphogenesis
Ichimura et al. Exploring rare cellular activity in more than one million cells by a transscale scope
Cortacero et al. Evolutionary design of explainable algorithms for biomedical image segmentation
Watson et al. Computational methods for single-cell imaging and omics data integration
Hua et al. Tracking transcriptional activities with high-content epifluorescent imaging
Tischer et al. Adaptive fluorescence microscopy by online feedback image analysis
Hardo et al. Challenges of analysing stochastic gene expression in bacteria using single-cell time-lapse experiments
Tran Thi Nhu et al. A novel toolbox to investigate tissue spatial organization applied to the study of the islets of Langerhans
Nikitaki et al. In situ detection of complex DNA damage using microscopy: a rough road ahead
Zhang et al. A high-throughput technique to map cell images to cell positions using a 3D imaging flow cytometer