Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study

Area of Science:

• Biomedical Science
• Immunophenotyping
• Biotechnology

Background:

• The shift towards decentralized data collection in biomedicine necessitates robust, reproducible methods.
• Traditional cell enumeration can be limited by centralized infrastructure and inter-laboratory variability.
• Biocytometry offers a potential solution for sensitive and scalable cell counting.

Purpose of the Study:

• To evaluate the performance of biocytometry in a decentralized, inter-laboratory setting.
• To assess the method's sensitivity and reproducibility across varying user skill levels.
• To determine the viability of biocytometry for rare cell analysis.

Main Methods:

• An inter-laboratory study was conducted using biocytometry with engineered bioparticles.
• Cell enumeration was performed in a decentralized environment without cross-calibration or advanced training.
• The method was tested for its ability to discriminate target cells at low concentrations.

Main Results:

• Biocytometry demonstrated significant statistical power in discriminating target cells, even at concentrations of 1 cell per 100,000.
• The method performed reliably across a range of user skill levels, from expert to beginner.
• Decentralized measurements yielded reproducible results without specialized instrument calibration.

Conclusions:

• Biocytometry is a viable and sensitive solution for immunophenotyping.
• The method supports scalability and reproducibility in decentralized laboratory environments.
• Biocytometry facilitates the analysis of rare cells in complex samples.