Experimental and synthetic datasets supporting FITSA: Statistical analysis of fluorescence intensity transients with Bayesian methods
Data files
Mar 17, 2025 version files 12.31 GB
-
fitsa-dataset.zip
12.31 GB
-
README.md
1.86 KB
Abstract
This dataset supports our study "Statistical Analysis of Fluorescence Intensity Transients with Bayesian Methods," which introduces Fluorescence Intensity Trace Statistical Analysis (FITSA), a Bayesian approach for direct analysis of fluorescence intensity traces. From these traces, FITSA estimates diffusion coefficient and molecular brightness. The repository contains all fluorescence intensity traces used in our comparative analysis of FITSA and fluorescence correlation spectroscopy (FCS). A README file describes the data structure. We provide both synthetic and experimental datasets that demonstrate various applications of FITSA. When combined with our separately published code, these datasets enable reproduction of our analysis and support further methodological development in the field. Based on our analysis of these traces, we demonstrate that FITSA achieves precision comparable to FCS while requiring substantially fewer photons and shorter measurement times.
This repository contains the complete set of traces used in the study:
“Statistical Analysis of Fluorescence Intensity Transients with Bayesian Methods”
Authors: Hamed Karimi, Martin Laasmaa, Margus Pihlak, Marko Vendelin
Repository Structure
The datasets are organized in subfolders corresponding to the figures in the study. Since some datasets were used across multiple figures, all relevant figure numbers are included in the subfolder names.
Synthetic Datasets
Multiple synthetic datasets were generated with varying molecular brightness levels, as shown in Figure 5 and associated Supporting Materials figures. These datasets are stored in dedicated subfolders, with the molecular brightness indicated in the subfolder name. For example:
mu_mol-50krepresents data with a molecular brightness of 50,000 1/s
Additional Experimental Data
The folder additional-experimental-data contains datasets used to estimate triplet state contributions in experiments with dye in water. These datasets were analyzed in conjunction with the following datasets from Figure 7 under identical conditions:
fig7/0.1nM/2024.06.18_Dex-0.1nM_water_power-700_r2.h5fig7/1nM/2024.06.18_Dex-1nM_water_power-700_r2.h5
Reference Information
- For detailed data format specifications, please refer to
DataFormat.mdin the FITSA implementation source code:- Repository: https://gitlab.com/iocbio/fitsa
- Archive DOI: 10.5281/zenodo.14742211
- Information about the generated synthetic traces can be found in Table S2 of the study
- For guidance on analyzing traces using FITSA, consult Table S3 of the study