Computed fiber evaluation of SEM images using DiameterJ

Fiber materials offer a high potential for improving the surface characteristics of medical implants. For quality assurance of nano- and microfiber structures the morphology is inspected by Scanning Electron Microscopy (SEM) as a standard method. Vast quantities of image data have to be evaluated. U...

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Autores principales:	Götz Andreas, Senz Volkmar, Illner Sabine, Grabow Niels
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	automated calculation fiber diameter imagej nanofiber microfiber electrospinning Medicine R
Acceso en línea:	https://doaj.org/article/ac24b27283954a63b26a08ae36916496
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spelling	oai:doaj.org-article:ac24b27283954a63b26a08ae369164962021-12-05T14:10:43ZComputed fiber evaluation of SEM images using DiameterJ2364-550410.1515/cdbme-2020-3113https://doaj.org/article/ac24b27283954a63b26a08ae369164962020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3113https://doaj.org/toc/2364-5504Fiber materials offer a high potential for improving the surface characteristics of medical implants. For quality assurance of nano- and microfiber structures the morphology is inspected by Scanning Electron Microscopy (SEM) as a standard method. Vast quantities of image data have to be evaluated. Usual practice for obtaining the fiber diameters is the manually setting of measurement points. The software DiameterJ which runs as plugin in ImageJ automatically computes fiber diameters. Here we investigated its capabilities and limitations by comparing the evaluation of selected sample SEM images of electrospun fibers. In this study the fibers of three examplary images specified by different contrast and fiber morphology were analyzed by using varied segmentation algorithms. The results are displayed in bar charts of frequency distribution. Additionally the computed fiber diameters were compared to manual measurements. Depending on various image properties the segmentation process works more or less reliable, and fault data of incomplete segmented fibers are computed. Often the results are eligible, but frequently DiameterJ generates data resembling to thin fibers, which are not present in the image. In some cases the peaks of fault data are much higher than peaks of real fibers. In consequence misinterpretation of data cannot be avoided. DiameterJ is a validated tool with the ability to generate reliable results. Future work on improving the segmentation algorithms can refine computed evaluation.Götz AndreasSenz VolkmarIllner SabineGrabow NielsDe Gruyterarticleautomatedcalculationfiber diameterimagejnanofibermicrofiberelectrospinningMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 438-441 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	automated calculation fiber diameter imagej nanofiber microfiber electrospinning Medicine R
spellingShingle	automated calculation fiber diameter imagej nanofiber microfiber electrospinning Medicine R Götz Andreas Senz Volkmar Illner Sabine Grabow Niels Computed fiber evaluation of SEM images using DiameterJ
description	Fiber materials offer a high potential for improving the surface characteristics of medical implants. For quality assurance of nano- and microfiber structures the morphology is inspected by Scanning Electron Microscopy (SEM) as a standard method. Vast quantities of image data have to be evaluated. Usual practice for obtaining the fiber diameters is the manually setting of measurement points. The software DiameterJ which runs as plugin in ImageJ automatically computes fiber diameters. Here we investigated its capabilities and limitations by comparing the evaluation of selected sample SEM images of electrospun fibers. In this study the fibers of three examplary images specified by different contrast and fiber morphology were analyzed by using varied segmentation algorithms. The results are displayed in bar charts of frequency distribution. Additionally the computed fiber diameters were compared to manual measurements. Depending on various image properties the segmentation process works more or less reliable, and fault data of incomplete segmented fibers are computed. Often the results are eligible, but frequently DiameterJ generates data resembling to thin fibers, which are not present in the image. In some cases the peaks of fault data are much higher than peaks of real fibers. In consequence misinterpretation of data cannot be avoided. DiameterJ is a validated tool with the ability to generate reliable results. Future work on improving the segmentation algorithms can refine computed evaluation.
format	article
author	Götz Andreas Senz Volkmar Illner Sabine Grabow Niels
author_facet	Götz Andreas Senz Volkmar Illner Sabine Grabow Niels
author_sort	Götz Andreas
title	Computed fiber evaluation of SEM images using DiameterJ
title_short	Computed fiber evaluation of SEM images using DiameterJ
title_full	Computed fiber evaluation of SEM images using DiameterJ
title_fullStr	Computed fiber evaluation of SEM images using DiameterJ
title_full_unstemmed	Computed fiber evaluation of SEM images using DiameterJ
title_sort	computed fiber evaluation of sem images using diameterj
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/ac24b27283954a63b26a08ae36916496
work_keys_str_mv	AT gotzandreas computedfiberevaluationofsemimagesusingdiameterj AT senzvolkmar computedfiberevaluationofsemimagesusingdiameterj AT illnersabine computedfiberevaluationofsemimagesusingdiameterj AT grabowniels computedfiberevaluationofsemimagesusingdiameterj
_version_	1718371802653130752

Computed fiber evaluation of SEM images using DiameterJ

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