Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A comparison between photon counting histogram and fluorescence intensity distribution analysis.

Fanbo Meng1, Hui Ma

  • 1Department of Physics and The Key Lab of Atomic and Molecular Nano Sciences, Ministry of Education, Tsinghua University, Beijing 100084, China.

The Journal of Physical Chemistry. B
|December 22, 2006
PubMed
Summary

Photon counting histogram (PCH) and fluorescence intensity distribution analysis (FIDA) are theoretically equivalent methods for fluorescence fluctuation spectroscopy (FFS). This study proves their complete equivalence in modeling point spread functions (PSFs) and discusses calculation efficiency.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Comparative genomics reveals the evolution of anthraquinone biosynthesis in Polygonaceae.

BMC genomics·2026
Same author

RNF213 Variants Associated With Periventricular Anastomosis Regression After Revascularization in Moyamoya Disease.

CNS neuroscience & therapeutics·2026
Same author

DeepICER: A deep learning framework for predicting compound-induced gene expression profiles.

Acta pharmaceutica Sinica. B·2026
Same author

Linking leaders' sustainability commitment with SME sustainability performance via serial mediation of green human resource management, psychological ownership for sustainability, and employee green innovation behavior: The role of organizational culture.

Acta psychologica·2026
Same author

Integrated Metabolomics, Transcriptomics, and Ultrastructural Assessment of the Myco-Heterotrophic Plant, <i>Monotropa uniflora</i>.

Plant direct·2026
Same author

Correction: Artificial intelligence in breast ultrasound: a systematic review of research advances.

Frontiers in oncology·2026

Area of Science:

  • Spectroscopy
  • Biophysics
  • Analytical Chemistry

Background:

  • Photon counting histogram (PCH) and fluorescence intensity distribution analysis (FIDA) are established techniques in fluorescence fluctuation spectroscopy (FFS).
  • Despite theoretical equivalence, PCH and FIDA are often treated as distinct methods, particularly concerning point spread function (PSF) modeling.
  • This divergence can lead to varied interpretations and applications in biophysical and chemical analyses.

Purpose of the Study:

  • To directly compare Photon Counting Histogram (PCH) and Fluorescence Intensity Distribution Analysis (FIDA) methods.
  • To provide a rigorous proof of their theoretical equivalence.
  • To clarify their identical capabilities in modeling point spread functions (PSFs).

Main Methods:

Related Experiment Videos

  • Detailed theoretical examination and direct comparison of PCH and FIDA methodologies.
  • Mathematical proof of the equivalence in modeling point spread functions (PSFs).
  • Development and application of simplified power series formulas for numerical calculations.
  • Main Results:

    • Direct proof confirms the theoretical equivalence of PCH and FIDA.
    • Demonstrated complete equivalence in the modeling of point spread functions (PSFs) between PCH and FIDA.
    • Simplified power series formulas enable fast and precise numerical calculations for both methods.

    Conclusions:

    • PCH and FIDA are fundamentally equivalent techniques in fluorescence fluctuation spectroscopy (FFS).
    • Any PSF modeling approach is transferable between PCH and FIDA.
    • The study highlights merits in calculation efficiency and precision for both methods using simplified formulas.