التفاصيل البيبلوغرافية
| العنوان: |
Computational methods for analysis of dynamic events in cell migration. |
| المؤلفون: |
Castañeda V, Cerda M, Santibáñez F, Jara J, Pulgar E, Palma K, Lemus CG, Osorio-Reich M, Concha ML, Härtel S; Laboratory for Scientific Image Analysis, ICBM, Facultad de Medicina, Universidad de Chile, Av. Independencia 1027, Independencia, Santiago, Chile. shartel@med.uchile.cl. |
| المصدر: |
Current molecular medicine [Curr Mol Med] 2014 Feb; Vol. 14 (2), pp. 291-307. |
| نوع المنشور: |
Journal Article; Research Support, Non-U.S. Gov't; Review |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: Bentham Science Publishers Country of Publication: Netherlands NLM ID: 101093076 Publication Model: Print Cited Medium: Internet ISSN: 1875-5666 (Electronic) Linking ISSN: 15665240 NLM ISO Abbreviation: Curr Mol Med Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: Hilversum, The Netherlands ; Boca Raton, FL : Bentham Science Publishers, c2001- |
| مواضيع طبية MeSH: |
Cell Movement/*physiology, Algorithms ; Animals ; Computational Biology ; Humans ; Image Processing, Computer-Assisted |
| مستخلص: |
Cell migration is a complex biological process that involves changes in shape and organization at the sub-cellular, cellular, and supra-cellular levels. Individual and collective cell migration can be assessed in vitro and in vivo starting from the flagellar driven movement of single sperm cells or bacteria, bacterial gliding and swarming, and amoeboid movement to the orchestrated movement of collective cell migration. One key technology to access migration phenomena is the combination of optical microscopy with image processing algorithms. This approach resolves simple motion estimation (e.g. preferred direction of migrating cells or path characteristics), but can also reveal more complex descriptors (e.g. protrusions or cellular deformations). In order to ensure an accurate quantification, the phenomena under study, their complexity, and the required level of description need to be addressed by an adequate experimental setup and processing pipeline. Here, we review typical workflows for processing starting with image acquisition, restoration (noise and artifact removal, signal enhancement), registration, analysis (object detection, segmentation and characterization) and interpretation (high level understanding). Image processing approaches for quantitative description of cell migration in 2- and 3-dimensional image series, including registration, segmentation, shape and topology description, tracking and motion fields are presented. We discuss advantages, limitations and suitability for different approaches and levels of description. |
| تواريخ الأحداث: |
Date Created: 20140129 Date Completed: 20141104 Latest Revision: 20190923 |
| رمز التحديث: |
20240628 |
| DOI: |
10.2174/1566524014666140128113952 |
| PMID: |
24467201 |
| قاعدة البيانات: |
MEDLINE |
