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

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...,本数据集支撑我们的"Statistical Analysis of Fluorescence Intensity Transients with Bayesian Methods"研究，文中提出了荧光强度轨迹统计分析（Fluorescence Intensity Trace Statistical Analysis, FITSA）——一种直接分析荧光强度轨迹的贝叶斯方法。通过该类轨迹，FITSA可估算扩散系数与分子亮度。本仓库包含了我们在FITSA与荧光相关光谱（Fluorescence Correlation Spectroscopy, FCS）的对比分析中所用的全部荧光强度轨迹。附带的README文件说明了数据结构。我们同时提供了可展示FITSA多种应用场景的合成数据集与实验数据集。将本数据集与我们另行发布的代码结合使用，即可复现本文的分析过程，同时也可为该领域后续的方法学开发提供支撑。通过对上述轨迹的分析，我们证明FITSA可达到与FCS相当的精度，且所需光子数更少、测量时长更短。 # 支撑FITSA的实验与合成数据集：基于贝叶斯方法的荧光强度瞬态统计分析 本仓库包含本研究中所用的全部轨迹： "Statistical Analysis of Fluorescence Intensity Transients with Bayesian Methods" 作者：Hamed Karimi、Martin Laasmaa、Margus Pihlak、Marko Vendelin ### 仓库结构 本数据集按照对应研究中图表的子文件夹进行组织。由于部分数据集被多个图表复用，子文件夹名称中会包含所有相关的图表编号。 ### 合成数据集 如图5及相关补充材料图表所示，我们生成了多种分子亮度水平各异的合成数据集。此类数据集存储于专属子文件夹中，子文件夹名称中会标注其分子亮度。例如： * `mu_mol-50k` 代表分子亮度为50,000 1/s的数据集 ### 附加实验数据集……