Literature DB >> 20623376

Flow cytometry and laser scanning cytometry, a comparison of techniques.

William J Mach1, Amanda R Thimmesch, James A Orr, Joyce G Slusser, Janet D Pierce.   

Abstract

OBJECTIVE: Flow and laser scanning cytometry are used extensively in research and clinical settings. These techniques provide clinicians and scientists information about cell functioning in a variety of health and disease states. An in-depth knowledge and understanding of cytometry techniques can enhance interpretation of current research findings. Our goal with this review is to reacquaint clinicians and scientists with information concerning differences between flow and laser scanning cytometry by comparing their capabilities and applications.
METHODS: A Pubmed abstract search was conducted for articles on research, reviews and current texts relating to origins and use of flow and laser scanning cytometry. Attention was given to studies describing application of these techniques in the clinical setting.
RESULTS: Both techniques exploit interactions between the physical properties of light. Data are immediately and automatically acquired; they are distinctly different. Flow cytometry provides valuable rapid information about a wide variety of cellular or particle characteristics. This technique does not provide the scanned high resolution image analysis needed for investigators to localize areas of interest within the cell for quantification. Flow cytometry requires that the sample contain a large amount disaggregated, single, suspended cells. Laser scanning cytometry is slide-based and does not require as large of a sample. The tissue sample is affixed to a slide allowing repeated sample analyses. These cytometry techniques are used in the clinical setting to understand pathophysiological derangements associated with many diseases; cardiovascular disease, diabetes, acute lung injury, hemorrhagic shock, surgery, cancer and Alzheimer's disease.
CONCLUSIONS: Understanding the differences between FCM and LSCM can assist investigators in planning and design of their research or clinical testing. Researchers and clinicians optimize these technique capabilities with the cellular characteristics they wish to measure delineating molecular and cellular events occurring in health and disease. Discovery of mechanisms in cells using FCM and LSCM provide evidence needed to guide future treatment and interventions.

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Year:  2010        PMID: 20623376     DOI: 10.1007/s10877-010-9242-4

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  55 in total

Review 1.  Analysis of apoptosis by laser scanning cytometry.

Authors:  E Bedner; X Li; W Gorczyca; M R Melamed; Z Darzynkiewicz
Journal:  Cytometry       Date:  1999-03-01

Review 2.  Flow cytometry of apoptotic cell death.

Authors:  I Vermes; C Haanen; C Reutelingsperger
Journal:  J Immunol Methods       Date:  2000-09-21       Impact factor: 2.303

3.  Cellular uptake, subcellular localization and photodamaging effect of temoporfin (mTHPC) in nasopharyngeal carcinoma cells: comparison with hematoporphyrin derivative.

Authors:  C M Yow; J Y Chen; N K Mak; N H Cheung; A W Leung
Journal:  Cancer Lett       Date:  2000-09-01       Impact factor: 8.679

Review 4.  Clinical applications of laser scanning cytometry.

Authors:  Attila Tárnok; Andreas O H Gerstner
Journal:  Cytometry       Date:  2002-06-15

5.  Guidelines for the presentation of flow cytometric data.

Authors:  Mario Roederer; Zbigniew Darzynkiewicz; David R Parks
Journal:  Methods Cell Biol       Date:  2004       Impact factor: 1.441

Review 6.  Hyperchromatic cytometry principles for cytomics using slide based cytometry.

Authors:  Anja Mittag; Dominik Lenz; Andreas O H Gerstner; Attila Tárnok
Journal:  Cytometry A       Date:  2006-07       Impact factor: 4.355

7.  Evaluating fluorescence sensitivity on flow cytometers: an overview.

Authors:  J C Wood; R A Hoffman
Journal:  Cytometry       Date:  1998-10-01

Review 8.  Slide-based laser scanning cytometry.

Authors:  L A Kamentsky; D E Burger; R J Gershman; L D Kamentsky; E Luther
Journal:  Acta Cytol       Date:  1997 Jan-Feb       Impact factor: 2.319

9.  Circulating endothelial progenitor cells, endothelial function, carotid intima-media thickness and circulating markers of endothelial dysfunction in people with type 1 diabetes without macrovascular disease or microalbuminuria.

Authors:  L Sibal; A Aldibbiat; S C Agarwal; G Mitchell; C Oates; S Razvi; J U Weaver; J A Shaw; P D Home
Journal:  Diabetologia       Date:  2009-05-30       Impact factor: 10.122

10.  Early expression of FcgammaRI (CD64) on monocytes of cardiac surgical patients and higher density of monocyte anti-inflammatory scavenger CD163 receptor in "on-pump" patients.

Authors:  Martina Kolackova; Manuela Kudlova; Pavel Kunes; Vladimir Lonsky; Jiri Mandak; Ctirad Andrys; Karolina Jankovicova; Jan Krejsek
Journal:  Mediators Inflamm       Date:  2008       Impact factor: 4.711

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  6 in total

1.  Rise of the micromachines: microfluidics and the future of cytometry.

Authors:  Donald Wlodkowic; Zbigniew Darzynkiewicz
Journal:  Methods Cell Biol       Date:  2011       Impact factor: 1.441

2.  Engineering and exploitation of a fluorescent HIV-1 gp120 for live cell CD4 binding assays.

Authors:  Lindsey M Costantini; Susan C Irvin; Steven C Kennedy; Feng Guo; Harris Goldstein; Betsy C Herold; Erik L Snapp
Journal:  Virology       Date:  2014-12-30       Impact factor: 3.616

3.  Prognostic significance of S-phase fractions in peritumoral invading zone analyzed by laser scanning cytometry in patients with high-grade glioma: A preliminary study.

Authors:  Syoichi Nakajima; Ken Morii; Hitoshi Takahashi; Yukihiko Fujii; Ryuya Yamanaka
Journal:  Oncol Lett       Date:  2016-02-09       Impact factor: 2.967

4.  The effects of incubation media on the assessment of the shape of human erythrocytes by flow cytometry: a contribution to mathematical data interpretation to enable wider application of the method.

Authors:  Ivana Drvenica; Slavko Mojsilović; Ana Stančić; Dragana Marković; Marijana Kovačić; Irina Maslovarić; Ivana Rapajić; Dušan Vučetić; Vesna Ilić
Journal:  Eur Biophys J       Date:  2021-04-04       Impact factor: 1.733

5.  Temporally and spatially restricted gene expression profiling.

Authors:  Alexandra Tallafuss; Philip Washbourne; John Postlethwait
Journal:  Curr Genomics       Date:  2014-08       Impact factor: 2.236

Review 6.  Use of Flow Cytometry in Clinical Practice.

Authors:  Dawn M Betters
Journal:  J Adv Pract Oncol       Date:  2015-09-01
  6 in total

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