Flow Cytometers and Cell Analyzers

Selecting the right flow cytometer depends on your application, throughput needs, and required level of analytical complexity.

• Number of Lasers and Detectors – Determines how many parameters (colors) can be analyzed simultaneously; higher-end systems support more complex, multicolor experiments
• Application Requirements – Match the system to your use case (e.g., immunophenotyping, cell cycle analysis, routine assays) to avoid over- or under-specifying
• Throughput and Sample Handling – Tube-based systems suit lower volumes, while plate-based systems with high-throughput samplers (HTS) support large screening workflows
• Analyzer vs. Cell Sorter – Analyzers measure cells, while sorters physically isolate populations; sorting adds complexity and cost but is essential for certain workflows
• Sensitivity and Detection Capabilities – Higher sensitivity improves detection of dim signals and rare cell populations, important for advanced research applications
• System Configuration and Expandability – Some systems allow upgrades (lasers/detectors), while others are fixed; flexibility can help future-proof your investment
• Software and Data Analysis – Consider ease of use, analysis capabilities, and compatibility with your existing lab systems
• Service, Support, and System Condition – Proper testing and servicing are critical for pre-owned systems to ensure reliable performance and minimize downtime

Flow cytometry is used across a wide range of research and clinical applications where rapid, multi-parameter analysis of cells or particles is required.

• Immunophenotyping – Identification and characterization of cell populations using surface and intracellular markers
• Cancer Research – Analysis of tumor cells, biomarkers, and treatment response, including leukemia and lymphoma studies
• Cell Cycle Analysis – Measurement of DNA content to assess cell cycle distribution and proliferation
• Apoptosis Detection – Detection and quantification of programmed cell death through cellular and biochemical markers
• Stem Cell Research – Identification and characterization of stem cell populations for research and therapeutic applications
• Microbiology – Analysis of bacteria, yeast, and other microorganisms, including viability and population studies
• Protein Expression Analysis – Measurement of intracellular and surface protein levels using fluorescent labeling
• Cell Sorting (FACS) – Isolation of specific cell populations for downstream applications such as culturing or molecular analysis
• Drug Discovery and Screening – High-throughput analysis of cellular responses, toxicity, and compound efficacy
• Rare Cell Detection – Identification of low-abundance populations such as circulating tumor cells or minimal residual disease