Journal article
LEVER: software tools for segmentation, tracking and lineaging of proliferating cells
BIOINFORMATICS, v 32(22), pp 3530-3531
15 Nov 2016
PMID: 27423896
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The analysis of time-lapse images showing cells dividing to produce clones of related cells is an important application in biological microscopy. Imaging at the temporal resolution required to establish accurate tracking for vertebrate stem or cancer cells often requires the use of transmitted light or phase-contrast microscopy. Processing these images requires automated segmentation, tracking and lineaging algorithms. There is also a need for any errors in the automated processing to be easily identified and quickly corrected. We have developed LEVER, an open source software tool that combines the automated image analysis for phase-contrast microscopy movies with an easy-to-use interface for validating the results and correcting any errors.
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Details
- Title
- LEVER: software tools for segmentation, tracking and lineaging of proliferating cells
- Creators
- Mark Winter - Drexel UniversityWalter Mankowski - Drexel UniversityEric Wait - Drexel UniversitySally Temple - Neural Stem Cell InstituteAndrew R. Cohen - Drexel University
- Publication Details
- BIOINFORMATICS, v 32(22), pp 3530-3531
- Publisher
- Oxford Univ Press
- Number of pages
- 2
- Grant note
- R01NS076709 / NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS) R01NS076709 / NIH NINDS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS) R01AG041861 / NATIONAL INSTITUTE ON AGING; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA) R01AG041861 / NIH NIA; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000392748700030
- Scopus ID
- 2-s2.0-85015241515
- Other Identifier
- 991019168227304721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biochemical Research Methods
- Biotechnology & Applied Microbiology
- Computer Science, Interdisciplinary Applications
- Mathematical & Computational Biology
- Statistics & Probability