Quantitative Functional Morphology by Imaging Flow Cytometry

Ivan A Vorobjev; Natasha S Barteneva

doi:10.1007/978-1-4939-3302-0_1

Quantitative Functional Morphology by Imaging Flow Cytometry

Methods Mol Biol. 2016:1389:3-11. doi: 10.1007/978-1-4939-3302-0_1.

Authors

Ivan A Vorobjev^{1

2}, Natasha S Barteneva^{3

4}

Affiliations

¹ Department of Cell Biology and Histology, M.V. Lomonosov Moscow State University, Moscow, 119992, Russia. vorob@libro.genebee.msu.ru.
² A.N. Belozersky Institute of Physico-Chemical Biology, M.V. Lomonosov Moscow State University, Moscow, 119992, Russia. vorob@libro.genebee.msu.ru.
³ Cellular and Molecular Medicine Program, Boston Childrens Hospital, Boston, MA, 02115, USA. natasha.barteneva@childrens.harvard.edu.
⁴ Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA. natasha.barteneva@childrens.harvard.edu.

PMID: 27460234
DOI: 10.1007/978-1-4939-3302-0_1

Abstract

This chapter describes advantages and limitations of imaging flow cytometry (IFC) based on Imagestream instrumentation using a hybrid approach of morphometric measurement and quantitation of multiparametric fluorescent intensities' distribution in cells and particles. Brief comparison is given of IFC with conventional flow cytometry and fluorescent microscopy. Some future directions of the IFC technology are described and discussed.

Keywords: Autofluorescence; Automated image analysis; Flow cytometry; Imaging flow cytometry; Quantitative morphology; Spectral compensation.

Publication types

Historical Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural

MeSH terms

Flow Cytometry / history
Flow Cytometry / instrumentation
Flow Cytometry / methods*
History, 20th Century
History, 21st Century
Image Cytometry / history
Image Cytometry / instrumentation
Image Cytometry / methods*
Microscopy, Fluorescence
Software

Grants and funding

S10 RR023459/RR/NCRR NIH HHS/United States