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Updated: Feb 16, 2026

Sample Preparation for Mass Cytometry Analysis
Published on: April 29, 2017
No lyse no wash flow cytometry for maximizing minimal sample preparation
Jordi Petriz1, Jolene A Bradford2, Michael D Ward2
1Institut de Recerca contra la Leucèmia Josep Carreras, Spain.
No lyse no wash flow cytometry protocols simplify sample preparation by avoiding red blood cell lysis. Understanding red blood cell interference is key to leveraging this simpler method for accurate cell analysis.
Area of Science:
- Flow cytometry
- Immunophenotyping
- Cellular analysis
Background:
- Red blood cell lysis is standard in flow cytometry but can cause artifacts.
- Lysis-free methods offer simpler sample preparation but require understanding red blood cell interference.
- Minimizing sample preparation effects on cell biology drives interest in no lyse no wash protocols.
Purpose of the Study:
- To present theories and methods for executing and interpreting no lyse no wash flow cytometry assays.
- To demonstrate methods for distinguishing white blood cells and platelets from red blood cells.
- To discuss strategies for overcoming limitations in no lyse no wash assays.
Main Methods:
- Combining 405 nm and 488 nm side scatter to improve data quality.
- Assessing white blood cell light scattering profiles for different sample treatments (no lysis, hypotonic lysis, ammonium chloride lysis).
- Utilizing alternate scatter and fluorescence thresholding strategies to address background limitations.
Main Results:
- Methods for distinguishing cell populations in the presence of intact red blood cells are presented.
- Comparative analysis of light scattering profiles under different lysis conditions.
- Demonstration of effective thresholding strategies for improved data interpretation.
Conclusions:
- No lyse no wash protocols offer procedural simplicity but require careful consideration of red blood cell interference.
- Optimized scatter and fluorescence thresholding are crucial for successful no lyse no wash assays.
- This approach enables combining functional assessments with phenotyping while minimizing sample preparation artifacts.
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