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|Preconditioning For Phase Contrast Image [download source code] This source code implements preconditioning for phase contrast microscopy image, which provides two different algorithms for use to choose: 1) preconditioning based on a linear imaging model: The source code implements a restoration method for phase contrast image by understanding its optics. We derive a linear imaging model corresponding to the phase contrast optics and formulate a quadratic optimization function to restore the authentic phase contrast image without halos or shade-off artifacts. With artifacts removed, high quality segmentation can be achieved by simply thresholding the restored images. 2) a modified method based on dictionary representation: we construct a dictionary based on diffraction patterns of phase contrast microscopes. By formulating and solving a min-l1 optimization problem, each pixel is restored into a feature vector corresponding to the dictionary representation. Cells in the images are then segmented by the feature vector clustering. Requires: Matlab References: Phase Contrast Image Restoration Via Dictionary Representation of Diffraction Patterns [pdf] Understanding the Phase Contrast Optics to Restore Artifact-Free Microscopy Images for Segmentation [pdf]|
|Image Stabilizer Plugin for ImageJ [download binaries] [download source code] This plugin stabilizes jittery image stacks using the Lucas-Kanade algorithm. It supports both grayscale and color images. Download Image_Stabilizer.class and Image_Stabilizer_Log_Applier.class to the plugins folder and restart ImageJ. Alternatively, download Image_Stabilizer.java and Image_Stabilizer_Log_Applier.java to the plugins folder or subfolder. Compile and run it using Plugins/Compile and Run. Restart ImageJ and there will be a new "Image Stabilizer" command and a new "Image Stabilizer Log Applier" command in the Plugins menu or its submenu. Requires: ImageJ 1.38q or later & Java Runtime Environment (JRE) 5.0 or later Copyright (C) 2008-2009 Kang Li. All rights reserved.|
Cell Image Analysis Archive
We developed a website to make available cell image sequences, ground truth data, and our algorithms' results to researchers working on cell image analysis. Using this site, researchers can download either single sequences of images or groups of sequences of images.
Each download file for a single sequence contains: