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Experimental and synthetic datasets supporting FITSA: Statistical analysis of fluorescence intensity transients with Bayesian methods

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DataONE2025-03-17 更新2025-04-26 收录
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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., , , # Experimental and synthetic datasets supporting FITSA: Statistical analysis of fluorescence intensity transients with Bayesian methods 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-50k` represents data with a molecular brightness of 50,000 1/s ### Additional Experimental Dat...,
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2025-03-18
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