Spectral analysis and sorting of microbial organisms using a spectral sorter

Area of Science:

• Microbiology
• Biotechnology
• Analytical Chemistry

Background:

• Conventional flow cytometry presents limitations in microbiological applications.
• Spectral flow cytometry offers enhanced capabilities for bacterial analysis and sorting.
• There is a need for advanced methods for bacterial identification and characterization.

Purpose of the Study:

• To introduce spectral flow cytometry and its advantages over conventional methods for bacterial sorting.
• To demonstrate the application of ThermoFisher's Bigfoot spectral sorter for bacterial analysis.
• To present Elastic Light Scattering (ELS) technology as a novel method for bacterial identification.

Main Methods:

• Utilized ThermoFisher's Bigfoot spectral sorter to analyze spectral signatures of bacterial stains.
• Performed spectral unmixing on datasets to differentiate bacterial populations.
• Optimized single-cell sorting and patterning using biosafety features of the spectral sorter with non-pathogenic bacteria.
• Applied Elastic Light Scattering (ELS) technology for label-free bacterial identification.

Main Results:

• Demonstrated the spectral signatures of different stains for bacteria using the Bigfoot spectral sorter.
• Successfully performed unmixing on spectral datasets.
• Optimized single-cell sorting and patterning at the single-cell level.
• Showcased the capability of ELS technology to identify patterned bacterial cells based on unique colony scatter patterns.

Conclusions:

• Spectral flow cytometry provides significant advantages for bacterial sorting and analysis in microbiology.
• The Bigfoot spectral sorter is a valuable instrument for spectral analysis and cell sorting.
• Elastic Light Scattering (ELS) technology offers a promising, rapid, label-free, and non-destructive approach for bacterial identification.