Obtain consistent and accurate PBMC cell counting results with Cellometer automatic cell counter (65.14)
Bo Lin, Leo Li‐Ying Chan, Ning Lai, Alnoor Pirani, Tim Smith, Emily Lyettefi, Jean Qiu
Abstract
Bo Lin, Leo Li‐Ying Chan, Ning Lai, Alnoor Pirani, Tim Smith, Emily Lyettefi, Jean Qiu
Abstract
Abstract Traditional methods for fluorescence-based PBMC analysis commonly employ manual hemacytometer and standard flow cytometry for concentration and viability measurement. Manual cell counting requires trained technicians, which is time-consuming and prone to human error. In addition, PBMC samples are usually contaminated with RBCs and platelets, which may increase manual counting difficulty. Standard flow cytometry remains expensive, large in size, and require considerable amount of maintenance, which may not be ideal for research laboratories that need a cost-effective method. In addition, traditional flow cytometers do not have imaging capabilities, which often generate some uncertainties in the fluorescence results obtained. Recently, an imaging cytometry platform has been developed by Nexcelom Bioscience. This system allows automated cell image acquisition and processing with a novel counting algorithm for accurate and consistent measurement of cell population and viability with 20 μl of PBMCs sample. In this work, we demonstrate a rapid and cost-effective method for concentration and viability measurement of PBMCs using the Cellometer imaging cytometry method. This method has the ability to resolve the issues caused by manual hemacytometer and flow cytometer. By using Cellometer imaging cytometry, the assay time for generating concentration and viability result is greatly reduced, which is significant for research development in the biomedical and clinical studies.
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Abstract Traditional methods for fluorescence-based PBMC analysis commonly employ manual hemacytometer and standard flow cytometry for concentration and viability measurement. Manual cell counting requires trained technicians, which is time-consuming and prone to human error. In addition, PBMC samples are usually contaminated with RBCs and platelets, which may increase manual counting difficulty. Standard flow cytometry remains expensive, large in size, and require considerable amount of maintenance, which may not be ideal for research laboratories that need a cost-effective method. In addition, traditional flow cytometers do not have imaging capabilities, which often generate some uncertainties in the fluorescence results obtained. Recently, an imaging cytometry platform has been developed by Nexcelom Bioscience. This system allows automated cell image acquisition and processing with a novel counting algorithm for accurate and consistent measurement of cell population and viability with 20 μl of PBMCs sample. In this work, we demonstrate a rapid and cost-effective method for concentration and viability measurement of PBMCs using the Cellometer imaging cytometry method. This method has the ability to resolve the issues caused by manual hemacytometer and flow cytometer. By using Cellometer imaging cytometry, the assay time for generating concentration and viability result is greatly reduced, which is significant for research development in the biomedical and clinical studies.
Key concepts: Hemocytometer, Cell counting, Flow cytometry, Cytometry, Peripheral blood mononuclear cell, Computer science, Biomedical engineering, Viability assay