Evidence map›Paper›PMID 36582655›Full record

ArticleBiophysical reports2023

Single-photon smFRET. I: Theory and conceptual basis.

Ayush Saurabh, Mohamadreza Fazel, Matthew Safar, Ioannis Sgouralis, Steve Pressé

Open access · goldAbstract read
In one paragraph

Article in Biophysical reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  5. Bayesian Nonparametrics for FRET using Realistic Integrative Detectors.bioRxiv : the preprint server for biology · 2025
    Article
  6. Physics-Inspired Single-Particle Tracking Accelerated with Parallelism.bioRxiv : the preprint server for biology · 2025
    Article
  7. Single-molecule reaction-diffusion.Biophysical journal · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Time-resolved burst variance analysis.Biophysical reports · 2023
    Article
  15. Single-Molecule Reaction-Diffusion.bioRxiv : the preprint server for biology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Ayush SaurabhCenter for Biological Physics, Arizona State University, Tempe, Arizona.
Mohamadreza FazelCenter for Biological Physics, Arizona State University, Tempe, Arizona.
Matthew SafarCenter for Biological Physics, Arizona State University, Tempe, Arizona.
Ioannis SgouralisDepartment of Mathematics, University of Tennessee Knoxville, Knoxville, Tennesse.
Steve PresséCenter for Biological Physics, Arizona State University, Tempe, Arizona.
Arizona State University · USKnoxville College · US

Funding

A Bayesian nonparametric approach to superresolved tracking of multiple molecules inside living cellsR01GM130745 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI PRESSE, STEVE · 2019 to 2023
$1.5M
Theoretical Models of Single Molecule Dynamics from Minimal Photon NumbersR01GM134426 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI PRESSE, STEVE · 2019 to 2022
$1.2M
NIGMS NIH HHS R01 GM130745NIGMS NIH HHS R01 GM134426
6 · The paper itself

Abstract

We present a unified conceptual framework and the associated software package for single-molecule Förster resonance energy transfer (smFRET) analysis from single-photon arrivals leveraging Bayesian nonparametrics, BNP-FRET. This unified framework addresses the following key physical complexities of a single-photon smFRET experiment, including: 1) fluorophore photophysics; 2) continuous time kinetics of the labeled system with large timescale separations between photophysical phenomena such as excited photophysical state lifetimes and events such as transition between system states; 3) unavoidable detector artefacts; 4) background emissions; 5) unknown number of system states; and 6) both continuous and pulsed illumination. These physical features necessarily demand a novel framework that extends beyond existing tools. In particular, the theory naturally brings us to a hidden Markov model with a second-order structure and Bayesian nonparametrics on account of items 1, 2, and 5 on the list. In the second and third companion articles, we discuss the direct effects of these key complexities on the inference of parameters for continuous and pulsed illumination, respectively.

Identifiers

PMID36582655
PMCPMC9793182
OpenAlexW4312085025

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.