Literature DB >> 25757807

An insight into morphometric descriptors of cell shape that pertain to regenerative medicine.

Joana Lobo1, Eugene Yong-Shun See1, Manus Biggs1, Abhay Pandit1.   

Abstract

Cellular morphology has recently been indicated as a powerful indicator of cellular function. The analysis of cell shape has evolved from rudimentary forms of microscopic visual inspection to more advanced methodologies that utilize high-resolution microscopy coupled with sophisticated computer hardware and software for data analysis. Despite this progress, there is still a lack of standardization in quantification of morphometric parameters. In addition, uncertainty remains as to which methodologies and parameters of cell morphology will yield meaningful data, which methods should be utilized to categorize cell shape, and the extent of reliability of measurements and the interpretation of the resulting analysis. A large range of descriptors has been employed to objectively assess the cellular morphology in two-dimensional and three-dimensional domains. Intuitively, simple and applicable morphometric descriptors are preferable and standardized protocols for cell shape analysis can be achieved with the help of computerized tools. In this review, cellular morphology is discussed as a descriptor of cellular function and the current morphometric parameters that are used quantitatively in two- and three-dimensional environments are described. Furthermore, the current problems associated with these morphometric measurements are addressed.
Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

Keywords:  image analysis; morphometry; quantitative microscopy

Mesh:

Year:  2015        PMID: 25757807     DOI: 10.1002/term.1994

Source DB:  PubMed          Journal:  J Tissue Eng Regen Med        ISSN: 1932-6254            Impact factor:   3.963


  8 in total

1.  Morphological changes in the ovarian carcinoma cells of Wistar rats induced by chemotherapy with cisplatin and dioxadet.

Authors:  A A Zhikhoreva; A V Belashov; V G Bespalov; A L Semenov; I V Semenova; G V Tochilnikov; N T Zhilinskaya; O S Vasyutinskii
Journal:  Biomed Opt Express       Date:  2018-10-29       Impact factor: 3.732

2.  Chemotherapy drug potency assessment method of ovarian cancer cells by digital holography microscopy.

Authors:  Yakun Liu; Wen Xiao; Huanzhi Zhang; Lu Xin; Xiaoping Li; Feng Pan
Journal:  Biomed Opt Express       Date:  2022-07-27       Impact factor: 3.562

3.  Cell mediated remodeling of stiffness matched collagen and fibrin scaffolds.

Authors:  Alicja Jagiełło; Ulysses Castillo; Elliot Botvinick
Journal:  Sci Rep       Date:  2022-07-11       Impact factor: 4.996

4.  Interpretation of cell mechanical experiments in microfluidic systems depend on the choice of cellular shape descriptors.

Authors:  Bob Fregin; Doreen Biedenweg; Oliver Otto
Journal:  Biomicrofluidics       Date:  2022-04-28       Impact factor: 3.258

5.  Nuclear morphometry and ploidy of normal and neoplastic haemocytes in mussels.

Authors:  Francesca Carella; Gionata De Vico; Gabriel Landini
Journal:  PLoS One       Date:  2017-03-10       Impact factor: 3.240

Review 6.  Bioimage Analysis and Cell Motility.

Authors:  Aleix Boquet-Pujadas; Jean-Christophe Olivo-Marin; Nancy Guillén
Journal:  Patterns (N Y)       Date:  2021-01-08

7.  Smart biomaterials: Surfaces functionalized with proteolytically stable osteoblast-adhesive peptides.

Authors:  Annj Zamuner; Paola Brun; Michele Scorzeto; Giuseppe Sica; Ignazio Castagliuolo; Monica Dettin
Journal:  Bioact Mater       Date:  2017-05-18

Review 8.  Guidelines for a Morphometric Analysis of Prokaryotic and Eukaryotic Cells by Scanning Electron Microscopy.

Authors:  Dominika Czerwińska-Główka; Katarzyna Krukiewicz
Journal:  Cells       Date:  2021-11-25       Impact factor: 6.600

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.