Literature DB >> 21538841

Cellometer vision as an alternative to flow cytometry for cell cycle analysis, mitochondrial potential, and immunophenotyping.

Leo L Chan1, Xuemei Zhong, Jean Qiu, Peter Y Li, Bo Lin.   

Abstract

Cell phenotyping and cell cycle analysis are two commonly used assays in both clinical diagnosis and biomedical research. Cell phenotyping by identifying different biomarkers is essential for the diagnosis of hematologic malignancy, sub-classifying diseases, monitoring response to treatment, predicting prognosis, detecting rare cell populations and residual malignant cells. Cell cycle analysis distinguishes cells in different phases of cell cycle and is often used to determine the cellular response to drugs and biological stimulations. These assays have been traditionally carried out by sensitive fluorescence detection methods such as flow cytometry and laser scanning cytometry for fluorescence-based cell population analysis. However, these instruments remain relatively expensive, large in size, and require a considerable amount of maintenance, which may not be feasible for smaller research groups that do not have access to these equipments or field clinics that require quick diagnostic results on site. Recently, a small portable imaging cytometry system (Cellometer Vision) has been developed by Nexcelom Bioscience LLC (Lawrence, MA) for automated cell concentration and viability measurement using bright-field and fluorescent imaging methods. Here we report new applications of the Cellometer imaging cytometry for fluorescence-based cell population analysis and compared them with conventional flow cytometry. Cell population analysis assays such as immunophenotyping, cell cycle, and mitochondrial membrane potential detection methods have not yet been reported for the Cellometer Vision system. Using this imaging cytometry method for fluorescence-based assays that are typically done by flow cytometry offers a quick, simple, and inexpensive alternative method for biomedical research, which may be beneficial for smaller research laboratories and clinics.
Copyright © 2011 International Society for Advancement of Cytometry.

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Year:  2011        PMID: 21538841     DOI: 10.1002/cyto.a.21071

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  18 in total

1.  A novel image-based cytometry method for autophagy detection in living cells.

Authors:  Leo Li-Ying Chan; Dee Shen; Alisha R Wilkinson; Wayne Patton; Ning Lai; Eric Chan; Dmitry Kuksin; Bo Lin; Jean Qiu
Journal:  Autophagy       Date:  2012-08-16       Impact factor: 16.016

2.  A high-throughput AO/PI-based cell concentration and viability detection method using the Celigo image cytometry.

Authors:  Leo Li-Ying Chan; Tim Smith; Kendra A Kumph; Dmitry Kuksin; Sarah Kessel; Olivier Déry; Scott Cribbes; Ning Lai; Jean Qiu
Journal:  Cytotechnology       Date:  2016-08-03       Impact factor: 2.058

3.  Use of image cytometry for quantification of pathogenic fungi in association with host cells.

Authors:  Charlotte Berkes; Leo Li-Ying Chan; Alisha Wilkinson; Benjamin Paradis
Journal:  J Vis Exp       Date:  2013-06-19       Impact factor: 1.355

4.  Rapid image-based cytometry for comparison of fluorescent viability staining methods.

Authors:  Leo L Chan; Alisha R Wilkinson; Benjamin D Paradis; Ning Lai
Journal:  J Fluoresc       Date:  2012-06-21       Impact factor: 2.217

5.  Sensitization to docetaxel in prostate cancer cells by green tea and quercetin.

Authors:  Piwen Wang; Susanne M Henning; David Heber; Jaydutt V Vadgama
Journal:  J Nutr Biochem       Date:  2015-01-15       Impact factor: 6.048

6.  Application of an Image Cytometry Protocol for Cellular and Mitochondrial Phenotyping on Fibroblasts from Patients with Inherited Disorders.

Authors:  Paula Fernandez-Guerra; M Lund; T J Corydon; N Cornelius; N Gregersen; J Palmfeldt; Peter Bross
Journal:  JIMD Rep       Date:  2015-09-25

7.  Discriminating multiplexed GFP reporters in primary articular chondrocyte cultures using image cytometry.

Authors:  Leo Li-Ying Chan; Jianping Huang; Yusuke Hagiwara; Leonardo Aguila; David Rowe
Journal:  J Fluoresc       Date:  2014-04-13       Impact factor: 2.217

8.  Novel image cytometric method for detection of physiological and metabolic changes in Saccharomyces cerevisiae.

Authors:  Leo L Chan; Alexandria Kury; Alisha Wilkinson; Charlotte Berkes; Alnoor Pirani
Journal:  J Ind Microbiol Biotechnol       Date:  2012-08-05       Impact factor: 3.346

9.  Increased chemopreventive effect by combining arctigenin, green tea polyphenol and curcumin in prostate and breast cancer cells.

Authors:  Piwen Wang; Bin Wang; Seyung Chung; Yanyuan Wu; Susanne M Henning; Jaydutt V Vadgama
Journal:  RSC Adv       Date:  2014-08-05       Impact factor: 3.361

10.  Type I interferons induce autophagy in certain human cancer cell lines.

Authors:  Hana Schmeisser; Samuel B Fey; Julie Horowitz; Elizabeth R Fischer; Corey A Balinsky; Kotaro Miyake; Joseph Bekisz; Andrew L Snow; Kathryn C Zoon
Journal:  Autophagy       Date:  2013-02-18       Impact factor: 16.016

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