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Super-resolution Fluorescence Microscopy

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Updated: May 24, 2026

Correlative Optical Spectroscopy and Mass Spectrometry Imaging Methodology to Visualise Drug Distribution in a Soft Tissue Section

Correlative Optical Spectroscopy and Mass Spectrometry Imaging Methodology to Visualise Drug Distribution in a Soft Tissue Section

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Phasor imaging with a widefield photon-counting detector.

Ryan A Colyer¹, Oswald H W Siegmund, Anton S Tremsin

¹UCLA, Department of Chemistry and Biochemistry, 607 Charles E. Young Drive East, Los Angeles, California, USA.

Journal of Biomedical Optics

|February 23, 2012

Summary

This summary is machine-generated.

The phasor approach simplifies fluorescence lifetime imaging microscopy (FLIM) data analysis, enabling real-time species identification and spatial mapping. This method enhances FLIM applications by combining computational efficiency with advanced detector technology.

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Last Updated: May 24, 2026

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Area of Science:

Biophysics
Microscopy
Spectroscopy

Background:

Fluorescence lifetime imaging microscopy (FLIM) is a powerful tool for biological research, but its adoption is limited by complex hardware and software requirements.
Traditional FLIM analysis, often based on multicomponent decays, demands high signal-to-noise ratios, restricting acquisition speed and increasing photobleaching.
The phasor approach offers a computationally efficient and intuitive alternative for FLIM data analysis.

Purpose of the Study:

To demonstrate the advantages of combining phasor analysis with a widefield time-resolved single photon-counting detector (H33D) for FLIM.
To showcase real-time species identification and spatial distribution mapping using this integrated approach.
To explore potential performance enhancements for the H33D detector through phasor analysis.

Main Methods:

Utilized a widefield time-resolved single photon-counting detector (H33D).
Applied the phasor approach for FLIM data analysis.
Acquired FLIM information over a wide field of view in parallel.

Main Results:

Phasor analysis enabled real-time, sub-second identification of species based on their fluorescence lifetimes.
Rapid spatial distribution mapping of identified species was achieved.
Demonstrated that phasor analysis simplifies FLIM data processing and allows for relaxed timing accuracy requirements.

Conclusions:

The combination of phasor analysis and the H33D detector significantly enhances FLIM capabilities.
This approach overcomes limitations of traditional FLIM analysis, enabling faster and more efficient imaging.
Future improvements in detector performance are anticipated due to the simplicity and relaxed requirements of phasor analysis.