{"id":11,"date":"2016-05-27T17:36:03","date_gmt":"2016-05-27T17:36:03","guid":{"rendered":"http:\/\/bioimage.coe.drexel.edu\/LEVER\/wordpress\/?page_id=11"},"modified":"2016-12-21T20:12:31","modified_gmt":"2016-12-21T20:12:31","slug":"about-lever","status":"publish","type":"page","link":"https:\/\/bioimage.coe.drexel.edu\/mp\/lever\/","title":{"rendered":"read me"},"content":{"rendered":"

LEVER (Lineage Editing and Validation) is a collection of software tools for analyzing the development of proliferating (dividing) cells in time-lapse microscopy image sequences. LEVER includes algorithms for segmentation, tracking and lineaging. LEVER also includes a user interface that allows the segmentation, tracking and lineaging results to be validated<\/em>, with any errors in the automated processing easily identified and quickly corrected<\/p>\n

The key to analyzing time-lapse microscopy images of live proliferating cells is the segmentation algorithm<\/strong>. Given perfect segmentation and sufficient temporal resolution of imaging, the tracking and lineaging algorithms will never make a mistake. Sadly, (or happily if you like writing segmentation algorithms) perfect segmentation will never exist. The entire LEVER architecture is designed to use temporal data from the tracking and contextual information on spatio-temporal population dynamics from the lineaging to improve the performance of the segmentation algorithm.<\/p>\n

Versions of LEVER<\/h6>\n

The version of LEVER available here includes segmentation algorithms for adult and embryonic mouse neural stem cells imaged with phase contrast microscopy. There are as yet un-released segmentation algorithms for phase\/brightfield and FUCCI images of human cancer cells and mouse T cells. There are also versions of LEVER that include 3-D visualization and segmentation for 5-D (3-D+time+channels) fluorescence microscopy including confocal, multi-photon and lattice light sheet. These algorithms will generally be released concurrent with the publication of the related manuscript(s). We are always interested in developing new collaborations – please contact acohen ‘at’ coe.drexel.edu if you are interested in working with us to develop a LEVER segmentation for your application.<\/p>\n

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An example of the phase contrast image sequences of neural stem cells that the present version of LEVER is designed for. Starting with the initial image (left), images are captured every 5 minutes for ~5 days\u00a0(right). \u00a0http:\/\/n2t.net\/ark:\/87918\/d91591?6<\/a><\/figcaption><\/figure>\n
Using LEVER<\/h6>\n

Here you can read about how to:<\/p>\n