Simulated data for paper "Using splines for point spread function calibration at non-uniform depths in localization microscopy"

Supplementary example data for the paper "Using splines for point spread function calibration at non-uniform depths in localization microscopy".The dataset consists of ".mat" files containing PSF function images or cspline models. There are three types of files in the dataset (XXXX refers to the calibration depth. ):"astig_PSF_base_sphXXXX.mat" - Simulated astigmatic PSF function image z-stack with pure PSF functions (intensity sums to 1, no background, no shot noise)"astig_PSF_diffspline_dpXXXX.mat" - Simulated astigmatic diffspline PSF model coefficients"astig_smooth_sphXXXX_3Dcorr.mat" - Simulated astigmatic cspline PSF model coefficientsThe data was generated with the code provided in open access on GitHub at https://github.com/qnano/diffspline. The data is also available in open access on SurfDrive at https://surfdrive.surf.nl/files/index.php/s/2oxletO4GkLAWbg.

本数据集为论文《定位显微镜中非均匀深度下的点扩散函数校准的样条方法》的补充示例数据。数据集包含格式为".mat"的文件，其中存储了点扩散函数（Point Spread Function, PSF）图像或立方样条（Cubic Spline, cspline）模型。数据集中共包含三类文件，其中XXXX代表校准深度："astig_PSF_base_sphXXXX.mat"为仅含纯点扩散函数的模拟像散点扩散函数图像z栈，其强度总和为1，无背景且无散粒噪声；"astig_PSF_diffspline_dpXXXX.mat"为模拟像散差分样条点扩散函数的模型系数；"astig_smooth_sphXXXX_3Dcorr.mat"为模拟像散立方样条点扩散函数的模型系数。本数据集的生成代码已在GitHub开源，地址为https://github.com/qnano/diffspline；数据集本身也可通过SurfDrive获取，开源地址为https://surfdrive.surf.nl/files/index.php/s/2oxletO4GkLAWbg。