WIS-NeuroMath - is a software tool for analysis of fluorescent microscopy images of Nerve cells. This tool detects candidate neurites using a state-of-the-art edge detection algorithm proposed by Galun, Basri and Brandt at the department of computer science and applied mathematics. The method allows accurate detection of neurites in challenging images. WIS-NeuroMath was developed by Ofra Golani and Meirav Galun in collaboration with Prof. Michael Fainzilber and Dr. Ida Rishal from the department of biological Chemistry. Recently we are using it also to quantify angiogenesis.
For more details see: WIS-NeuroMath
WIS-PhagoTracker - is a software application for quantitative analysis of high throughput cell migration assay. The cell migration assay is based on a modified Phagokinetic tracks procedure, in which motile cells "leave their tracks" on a specialized surface.
WIS-PhagoTracker was developed by Ofra Golani, Meirav Galun and Suha Naffar Abu-Amara in the laboratories of Prof. Benny Geiger and Prof. Ronen Basri at the Department of Molecular Cell Biology and the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science.
The very accurate tracks detection which is the core of WIS-PhagoTracker is achieved by using multi-scale segmentation algorithm developed by: Ronen Basri, Achi Brandt, Meirav Galun, Yoav Karnieli and Eitan Sharon.
For more details see: WIS-PhagoTracker
mriMaps – is a software application for analysis and display of MRI data. It was developed in collaboration with Prof. Michal Neeman, Dr. Hagit Dafni and Reut Avni from the department of Biological Regulation. Contact us for more information
PhenoTrack – is an automated system for tracking human cells from the Library of Annotated Reporter Cell-clones developed at Prof. Uri Alon’s lab from the department of Molecular Cell Biology. Phenotrack was developed by Dr. Eran Eden and was used in the following publications. We help users in adaptation of the package to their specific experimental data.
Eden, Zatorsky et al., Proteome Half Life Dynamics in Living Cells, Science 2011
Cohen, Zatorsky, Eden et al, Dynamic Proteomics of Individual Cancer Cells in Response to a Drug, Science 2008