Cell sorting based on pulse shapes from angle resolved detection of scattered light.

Area of Science:

• Biotechnology
• Cell Biology
• Analytical Chemistry

Background:

• Flow cytometry is crucial for high-throughput cell analysis and sorting.
• Conventional methods rely on fluorescent stains, which can affect experimental outcomes.
• Existing label-free techniques often involve complex setups, limited resolution, and large data volumes.

Purpose of the Study:

• To develop and validate a novel flow cytometry technology utilizing scattered light.
• To enable label-free cell analysis and sorting.
• To overcome limitations of fluorescent staining and current label-free methods.

Main Methods:

• A custom-built flow cytometry setup employing a fiber array for forward scatter detection.
• Angular resolution achieved through the fiber array.
• Advanced signal processing to capture and analyze the entire pulse shape of scattered light.

Main Results:

• Demonstrated feasibility of cell sorting based solely on scattered light signals.
• Successfully sorted cell lines according to their cell cycle stages.
• Achieved classification of human peripheral blood T- and B-cell subsets using scattered light.

Conclusions:

• The developed technology enables effective cell analysis and sorting without fluorescent labels.
• Scattered light analysis offers a viable alternative to fluorescent staining in flow cytometry.
• This label-free approach simplifies experimental procedures and broadens flow cytometry applications.