Fluorescence image time series for pair correlation function analysis

<p>Data files for the tutorial "<a href="https://github.com/cgohlke/ipcf.ipynb">Pair Correlation Function Analysis of Fluorescence Fluctuations in Big Image Time Series using Python</a>", presented at the Big Data Image Processing &amp; Analysis BigDIPA workshops 2016, 2017, and 2018.<br><br>The <strong>Simulation_Channel.bin</strong> file contains the result of a simulation of fluorescent particles diffusing on a 64x64 grid. The grid contains a diagonal, 300 nm wide channel, which restricts free diffusion. The file was produced using the Globals for Images, SimFCS software. The array shape is (32000, 64, 64), the data type is uint16.<br><br>The <strong>Simulation_Channel.ipcf.bin</strong> file contains the expected results of an ipCF analysis with 32 points at radius 6, and 32 bins. The array shape is (52, 52, 32, 30), the data type is float32.<br><br>The <strong>nih3t3-egfp_2.zip</strong> dataset contains a time series of SPIM images of a biological cell. It consists 35,000 TIFF files of 1024x512 16-bit grayscale samples each, 34.5 GB total.</p>