Review of free software tools for image analysis of fluorescence cell micrographs

Journal article
(Original article)


Publication Details

Author(s): Wiesmann V, Franz D, Held C, Münzenmayer C, Palmisano R, Wittenberg T
Journal: Journal of Microscopy
Publisher: Blackwell Publishing Ltd
Publication year: 2015
Volume: 257
Journal issue: 257
Pages range: 39-53
ISSN: 0022-2720
eISSN: 1365-2818
Language: English


Abstract

Summary: An increasing number of free software tools have been made available for the evaluation of fluorescence cell micrographs. The main users are biologists and related life scientists with no or little knowledge of image processing. In this review, we give an overview of available tools and guidelines about which tools the users should use to segment fluorescence micrographs. We selected 15 free tools and divided them into stand-alone, Matlab-based, ImageJ-based, free demo versions of commercial tools and data sharing tools. The review consists of two parts: First, we developed a criteria catalogue and rated the tools regarding structural requirements, functionality (flexibility, segmentation and image processing filters) and usability (documentation, data management, usability and visualization). Second, we performed an image processing case study with four representative fluorescence micrograph segmentation tasks with figure-ground and cell separation. The tools display a wide range of functionality and usability. In the image processing case study, we were able to perform figure-ground separation in all micrographs using mainly thresholding. Cell separation was not possible with most of the tools, because cell separation methods are provided only by a subset of the tools and are difficult to parametrize and to use. Most important is that the usability matches the functionality of a tool. To be usable, specialized tools with less functionality need to fulfill less usability criteria, whereas multipurpose tools need a well-structured menu and intuitive graphical user interface.


FAU Authors / FAU Editors

Franz, Daniela
Professur für Informatik (Visualisierung)
Palmisano, Ralf Dr.
Optical Imaging Center Erlangen (OICE)
Wittenberg, Thomas PD Dr.
Technische Fakultät


External institutions with authors

Fraunhofer-Institut für Integrierte Schaltungen (IIS)


How to cite

APA:
Wiesmann, V., Franz, D., Held, C., Münzenmayer, C., Palmisano, R., & Wittenberg, T. (2015). Review of free software tools for image analysis of fluorescence cell micrographs. Journal of Microscopy, 257(257), 39-53. https://dx.doi.org/10.1111/jmi.12184

MLA:
Wiesmann, Veit, et al. "Review of free software tools for image analysis of fluorescence cell micrographs." Journal of Microscopy 257.257 (2015): 39-53.

BibTeX: 

Last updated on 2019-02-07 at 11:08