For Modeled Integrated Scatter Tool see: ScatterMIST
Now using CUDA 9.0, refer to Installation Instructions for details on how to install CUDA toolkit 9.0. All users that were using the older CUDA 6.5 will need to update to CUDA 9.0. The update should result in higher performance execution, especially on more modern GPUs.
Microscopy Image Stitching Tool (MIST) is being developed at the National Institute of Standards and Technology. The first release is an ImageJ/Fiji plugin-in. The next release will add a standalone tool. This repository contains source code for the plugin in one branch and the source code for the MATLAB prototype in another. Please use the quick navigation for installation instructions and the user guide. For more information about the tool please refer to the About MIST in the quick navigation.
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MIST is designed to stitch 2D image datasets. It does not address volumetric or 3D stitching which requires a system to identify and correlate features across a third dimension (e.g., Z-axis). The tool has a facility for handling time-series data as a sequence of independent datasets.
We have two datasets: a 5x5 grid of image tiles and a 10x10 one. The two datasets were acquired with 10% overlap between consecutive tiles and in two imaging modalities: phase contrast and Cy5 (a Fluorescent imaging modality with minimal background noise). An example of each image is shown in Figure 1 below. Grid tiling starts in the upper left corner and proceeds one row at a time from left to right; rows are ordered from top to bottom. File names follow the pattern, basename_r{rrr}_c{ccc}.tif, where r{rrr} is the row number and c{ccc} the column number. For example: img_Cy5_r003_c004.tif is the image acquired using Cy5 and located on row 3, column 4 on the 5x5 grid.
These datasets can be downloaded from the following links:
Example Results: Cy5_ImageTiles.zip ~ 5 KB
Example Results: Phase_Image_Tiles.zip ~ 5 KB
Phase_Image_Tiles.zip ~ 195 MB
This dataset is hosted at and used for the 2015 BioImage Informatics Conference: Image Stitching Challenge.
Figure 1: Example Phase Contrast and Cy5 stitched images with auto adjusted contrast for visualization purposes.
If you are using MIST in your research, please use the following references to cite us.
T. Blattner et. al., "A Hybrid CPU-GPU System for Stitching of Large Scale Optical Microscopy Images", 2014 International Conference on Parallel Processing, 2014 download pdf, view article
J. Chalfoun, et al. "MIST: Accurate and Scalable Microscopy Image Stitching Tool with Stage Modeling and Error Minimization". Scientific Reports. 2017;7:4988. doi:10.1038/s41598-017-04567-y download pdf, view article