Data for Taylor Dispersion-Induced Phase Separation for the Efficient Characterisation of Protein Condensate Formation

This archive contains data files the Python 3 code needed to reproduce the analysis done for the publication "Taylor Dispersion-Induced Phase Separation for the Efficient Characterisation of Protein Condensate Formation". Most of the data files are recorded on the Fida 1 instrument (Fidabio, Denmark) and consists of fluorescence recordings at the end of a 1 m long microfluidic channel (Ø 75 µm). Additional data file types include raw microscopy images (Leica SP8 confocal microscope, Germany), spectroscopy and light scattering files from Probedrum/Labbot (Labbot, Sweden), and simulation files generated by Comsol 6 (COMSOL AB, Sweden). Comsol project files are also supplied. The Python code is supplied in the form of Jupyter Notebooks. A python file "TDIPS.py" contains general routines used in the data analysis notebooks, and is for example capable of calculating the viscosity of various salt solution mixtures using table values. This is used for normalisation of the Fida 1 instrument data, when several measurements are done at different salt concentrations. The scripts are running Python 3.11.7 and packages Numpy (1.26.4), Matplotlib (3.8.0), Pandas (2.1.4), Scipy (1.11.4), and LMfit (1.2.2). All figures are included as Scalable Vector Graphics (SVG) files and can be opened using Inkscape. © Technical University of Denmark本归档文件包含用于复现发表论文《泰勒色散诱导相分离用于高效表征蛋白质凝聚物形成》中分析流程所需的数据文件与Python 3代码。绝大多数数据文件由丹麦Fidabio公司的Fida 1仪器采集，内容为长1 m、内径75 µm的微流控通道末端的荧光记录数据。其他数据文件类型包括：德国Leica SP8共聚焦显微镜采集的原始显微图像、瑞典Probedrum/Labbot（Labbot公司）提供的光谱与光散射文件，以及瑞典COMSOL AB公司Comsol 6生成的仿真文件，同时附带Comsol项目文件。 本次提供的Python代码以Jupyter Notebook形式分发。另有Python文件`TDIPS.py`，涵盖数据分析Notebook中复用的通用程序，例如可基于查表值计算多种盐溶液混合物的黏度，该功能用于在不同盐浓度下开展多次测量时，对Fida 1仪器采集的数据进行归一化处理。 本脚本基于Python 3.11.7开发，依赖的第三方库包括Numpy（1.26.4）、Matplotlib（3.8.0）、Pandas（2.1.4）、Scipy（1.11.4）与LMfit（1.2.2）。 所有论文配图均以可缩放矢量图形（Scalable Vector Graphics, SVG）格式提供，可通过Inkscape软件打开。 © 丹麦技术大学