How Flow Cytometry Is Used for Accurate Cell Counting
Learn how flow cytometry provides accurate cell counts by analyzing individual cells in a fluid stream, offering superior speed and data over manual methods.
Learn how flow cytometry provides accurate cell counts by analyzing individual cells in a fluid stream, offering superior speed and data over manual methods.
Flow cytometry is a technology used to analyze the physical and chemical characteristics of particles, such as cells, as they move in a fluid stream past a laser. Its primary function is to rapidly count large numbers of cells while simultaneously assessing multiple parameters on each one. This capability makes it a valuable instrument for detailed cell analysis in many scientific and medical fields.
The process of counting cells with a flow cytometer begins with the fluidics system, which ensures cells are presented to the laser one at a time. A cell sample is injected into a stream of sheath fluid in a process known as hydrodynamic focusing, which funnels the cells into a single-file line. This precise alignment allows the instrument to analyze each cell individually as it passes the detection point.
As each cell travels through the instrument, it intersects a highly focused laser beam. When a cell passes through this light source, it scatters the light in multiple directions. This scattering event is the basis for detection and measurement, and the single-file stream ensures that each event corresponds to a single cell.
The scattered light is captured by specialized detectors. Light scattered in the forward direction, known as forward scatter (FSC), provides information about the cell’s relative size. Light scattered to the side (SSC) relates to the cell’s internal complexity or granularity. Each time a cell generates this pair of light signals, the system’s electronics register it as a single count, allowing for the rapid enumeration of thousands of cells per second.
Before analysis, samples must be prepared in a single-cell suspension, meaning the cells are individual and not clumped together. While this is often straightforward for samples like blood or cell cultures, solid tissues require mechanical or enzymatic dissociation to break them down.
The concentration of cells in the sample is also a factor. A sample that is too dense can cause coincidence events, where multiple cells pass the laser simultaneously and skew the count. Conversely, a sample that is too sparse will require a longer acquisition time. Therefore, samples are diluted to an optimal concentration before analysis.
To achieve a precise absolute cell count, internal standards such as fluorescent microbeads of a known concentration are often added. By comparing the number of bead events to cell events, researchers can calculate the exact concentration of cells in the original sample. Additionally, viability dyes can be used to differentiate between live and dead cells, ensuring only the desired population is counted.
Flow cytometry’s ability to quickly count specific cell populations is valuable in clinical diagnostics. One of its most well-known applications is monitoring patients with HIV by tracking a type of immune cell called the CD4+ T-cell. A decreasing CD4+ cell count indicates a weakening immune system and helps guide treatment decisions.
In research, flow cytometry is used extensively in immunology and cancer biology. Immunologists use it to quantify different types of immune cells to understand the body’s response to vaccines or infections. Cancer researchers might use it to measure tumor cell proliferation or identify rare circulating cancer cells, providing insights into disease progression.
Beyond healthcare, flow cytometry is used in industrial and bioprocessing settings. In the production of pharmaceuticals, vaccines, or beer, it monitors the health and quantity of microorganisms like yeast or bacteria. Ensuring cell counts are within the desired range during fermentation helps producers maintain consistency and quality in their final product.
Flow cytometry offers significant advantages over manual cell counting methods, such as using a hemocytometer. The most apparent difference is speed, as a flow cytometer can analyze thousands of cells per second. In contrast, manually counting even a few hundred cells is a slow and laborious process.
This high-throughput capability contributes to greater accuracy and statistical power. By analyzing a much larger number of cells, flow cytometry provides a more representative count of the cell population, minimizing sampling error. The automated process also eliminates the human error and subjective judgment inherent in manual counting.
A flow cytometer also provides more than just a simple cell count. While a hemocytometer only provides a number, flow cytometry simultaneously gathers data on individual cell characteristics like size and internal complexity. This ability to collect multiparametric data offers a richer, more detailed analysis not possible with manual techniques.