Pixelation with Concentration-Encoded Effective Photons for Quantitative Molecular Optical Sectioning Microscopy

Geng Wang, Rishyashring R. Iyer, Janet E. Sorrells, Edita Aksamitiene, Eric J. Chaney, Carlos A. Renteria, Jaena Park, Jindou Shi, Yi Sun, Stephen A. Boppart, Haohua Tu

Research output: Contribution to journalArticlepeer-review

Abstract

Irreproducibility in molecular optical sectioning microscopy has hindered the transformation of acquired digital images from qualitative descriptions to quantitative data. Although numerous tools, metrics, and phantoms have been developed, accurate quantitative comparisons of data from different microscopy systems with diverse acquisition conditions remains a challenge. Here, they develop a simple tool based on an absolute measurement of bulk fluorophore solutions with related Poisson photon statistics, to overcome this obstacle is developed. Demonstrated in a prototypical multiphoton microscope, this tool unifies the unit of pixelated measurement to enable objective comparison of imaging performance across different modalities, microscopes, components/settings, and molecular targets. The application of this tool in live specimens identifies an attractive methodology for quantitative imaging, which rapidly acquires low signal-to-noise frames with either gentle illumination or low-concentration fluorescence labeling.

Original languageEnglish (US)
Article number2400031
JournalLaser and Photonics Reviews
Volume18
Issue number10
DOIs
StatePublished - Oct 2024

Keywords

  • POISSON photon statistics
  • fluorescence microscopy
  • multiphoton microscopy
  • quantitative microscopy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics

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