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Dr. Mike Borowitz
Dr. Arvinder Singh
Arvinder Singh obtained his PhD from the Institute of Microbial Technology, IMTECH and Panjab University, Chandigarh in 1993. His main research interest has been infectious diseases and immunology. He has been involved with flow cytometry since 1995 and played a significant role in its promotion and popularization in India and south East Asia. He has been a flow cytometer trainer in clinical as well as research applications, mainly multicolor immunophenotyping, cell cycle, stem cell analysis and high speed cell sorting. He is currently employed with BD Biosciences India as Strategic Adviser & Head, Science & Technology. Dr. Singh was one of the founding members of the Indo-US Cytometry workshops and instrumental in training of a large number of Indian researchers in flow cytometry. Dr. Singh has been a member and co-chair of the Membership Services Committee of the International Society for Advancement of Cytology.
Tutorial and Wet lab: Recent updates in high speed cell sorting - Flow Cytometry is the measurement of single cells in a fluid suspension. The major benefit of flow cytometers is the capability to rapidly measure and record multiple characteristics of a large number of cells simultaneously at rates that can exceed 50,000 cells per second, so that even low-frequency cell populations can be quantitated with a high degree of statistical accuracy. Additionally, flow cytometry instrumentation with cell sorting capability provides the ability to recover a selected cell subpopulation in high purity (>99%) from a heterogeneous mixture of cells. The recent developments allow the cells to be sorted at the speed up to 70,000 cells per second with > 99% purity maintaining a very high viability. The subpopulation can then be used in assays to determine biological function or in other molecular studies. Today, flow cytometry provides quantitative and qualitative measurement of heterogeneous cell populations based on antigen expression, enzyme activity, intracellular proteins, gene expression, cell kinetics, DNA content, side population stem cells and other molecular applications.