Literature DB >> 18784656

High-content analysis in neuroscience.

Mike Dragunow1.   

Abstract

High-content analysis (HCA) combines automated microscopy and automated image analysis to quantify complex cellular anatomy and biochemistry objectively, accurately and quickly. High-content assays that are applicable to neuroscience include those that can quantify various aspects of dendritic trees, protein aggregation, transcription factor translocation, neurotransmitter receptor internalization, neuron and synapse number, cell migration, proliferation and apoptosis. The data that are generated by HCA are rich and multiplexed. HCA thus provides a powerful high-throughput tool for neuroscientists.

Mesh:

Year:  2008        PMID: 18784656     DOI: 10.1038/nrn2492

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  29 in total

1.  Quantification of hormone sensitive lipase phosphorylation and colocalization with lipid droplets in murine 3T3L1 and human subcutaneous adipocytes via automated digital microscopy and high-content analysis.

Authors:  Patrick M McDonough; Randall S Ingermanson; Patricia A Loy; Erick D Koon; Ross Whittaker; Casey A Laris; Jeffrey M Hilton; James B Nicoll; Benjamin M Buehrer; Jeffrey H Price
Journal:  Assay Drug Dev Technol       Date:  2010-12-27       Impact factor: 1.738

2.  Quantification of lipid droplets and associated proteins in cellular models of obesity via high-content/high-throughput microscopy and automated image analysis.

Authors:  Patrick M McDonough; Ramses M Agustin; Randall S Ingermanson; Patricia A Loy; Benjamin M Buehrer; James B Nicoll; Natalie L Prigozhina; Ivana Mikic; Jeffrey H Price
Journal:  Assay Drug Dev Technol       Date:  2009-10       Impact factor: 1.738

3.  High-content high-throughput assays for characterizing the viability and morphology of human iPSC-derived neuronal cultures.

Authors:  Oksana Sirenko; Jayne Hesley; Ivan Rusyn; Evan F Cromwell
Journal:  Assay Drug Dev Technol       Date:  2014 Nov-Dec       Impact factor: 1.738

4.  Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning.

Authors:  Gadea Mata; Miroslav Radojević; Carlos Fernandez-Lozano; Ihor Smal; Niels Werij; Miguel Morales; Erik Meijering; Julio Rubio
Journal:  Neuroinformatics       Date:  2019-04

5.  Automated Sholl analysis of digitized neuronal morphology at multiple scales: Whole cell Sholl analysis versus Sholl analysis of arbor subregions.

Authors:  Christopher G Langhammer; Michelle L Previtera; Eric S Sweet; Simranjeet S Sran; Maxine Chen; Bonnie L Firestein
Journal:  Cytometry A       Date:  2010-12       Impact factor: 4.355

6.  Isoflurane decreases self-renewal capacity of rat cultured neural stem cells.

Authors:  Deborah J Culley; Justin D Boyd; Arvind Palanisamy; Zhongcong Xie; Koji Kojima; Charles A Vacanti; Rudolph E Tanzi; Gregory Crosby
Journal:  Anesthesiology       Date:  2011-10       Impact factor: 7.892

7.  Automatic robust neurite detection and morphological analysis of neuronal cell cultures in high-content screening.

Authors:  Chaohong Wu; Joost Schulte; Katharine J Sepp; J Troy Littleton; Pengyu Hong
Journal:  Neuroinformatics       Date:  2010-06

8.  Studying Human Brain Inflammation in Leptomeningeal and Choroid Plexus Explant Cultures.

Authors:  Mike Dragunow; Sheryl Feng; Justin Rustenhoven; Maurice Curtis; Richard Faull
Journal:  Neurochem Res       Date:  2015-08-05       Impact factor: 3.996

9.  Differential nuclear staining assay for high-throughput screening to identify cytotoxic compounds.

Authors:  Carolina Lema; Armando Varela-Ramirez; Renato J Aguilera
Journal:  Curr Cell Biochem       Date:  2011-09-12

10.  Introduction to the quantitative analysis of two-dimensional fluorescence microscopy images for cell-based screening.

Authors:  Vebjorn Ljosa; Anne E Carpenter
Journal:  PLoS Comput Biol       Date:  2009-12-24       Impact factor: 4.475

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