Understanding Cell Viability: Techniques and Applications in Flow Cytometry
The goal of cell viability studies is to differentiate live cells from dead and apoptotic cells, allowing for the calculation of the percentage of viable cells in experiments. Methods such as Trypan blue staining and flow cytometry provide insights into cell health. Flow cytometry, with its components – fluidics, optics, and lasers – processes large volumes of data efficiently. By analyzing parameters like forward scatter (FSC) and side scatter (SSC), researchers can determine cell size, granularity, and further isolate populations for detailed study.
Understanding Cell Viability: Techniques and Applications in Flow Cytometry
E N D
Presentation Transcript
Cell viability studies Sepideh Khoshnevis
The Goal • To distinguish live cells from dead and apoptotic cells in order to calculate the the percentage of viable cells for each experiment
Cell viability study • Trypan blue studies • Finding data for a small population • a good first order approximation • Flow cytometry • Processing a large volume of data in a reasonable time
How does flow cytometer work? • It is made up of three systems • Fluidics • Optics • Laser • Filters • electronics
fluidics • Hydrodynamic focusing introduction to flow cytometry, BD biosciences
Light Scatter • Forward scatter (FSC) • Proportional to cell size • Side scatter (SSC) • Proportional to cell granularity or internal complexity • FSC vs. SSC plot • Isolating mixture of cell population
Differentiation of cell types introduction to flow cytometry, BD biosciences
Fluorescence • Fluorescent dyes • Fluorochrome conjugated antibodies
Optical bench diagram introduction to flow cytometry, BD biosciences
Signal detection • When the particles enters the laser beam light signal is being produced • Light is converted to voltage by photodetectors • Photodiode • Photomultiplier tube • Size of voltage pulse depends on the number of photons detected • The height of the voltage pulse dictate what channel it falls under
Data display • Histogram • Dot plots • Multi dimensional plots
Gating • Isolating the population of interest • Cluster analysis • Further analysis of a subpopulation