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GIFT: An ImageJ macro for automated fiber diameter quantification.
Huling, Jennifer; Götz, Andreas; Grabow, Niels; Illner, Sabine.
Afiliación
  • Huling J; Institute for Biomedical Engineering, Rostock University Medical Center, Rostock, Germany.
  • Götz A; Institute for Biomedical Engineering, Rostock University Medical Center, Rostock, Germany.
  • Grabow N; Institute for Biomedical Engineering, Rostock University Medical Center, Rostock, Germany.
  • Illner S; Institute for Biomedical Engineering, Rostock University Medical Center, Rostock, Germany.
PLoS One ; 17(10): e0275528, 2022.
Article en En | MEDLINE | ID: mdl-36191031
This paper details the development and testing of the GIFT macro, which is a freely available program for ImageJ for the automated measurement of fiber diameters in SEM images of electrospun materials. The GIFT macro applies a validated method which distinguishes fiber diameters based on distance frequencies within an image. In this work, we introduce an applied version of the GIFT method which has been designed to be user-friendly while still allowing complete control over the various parameters involved in the image processing steps. The macro quickly processes large data sets and creates results that are reproducible and accurate. The program outputs both raw data and fiber diameter averages, so that the user can quickly assess the results and has the opportunity for further analysis if desired. The GIFT macro was compared directly to other software designed for fiber diameter measurements and was found to have comparable or lower average error, especially when measuring very small fibers, and reduced processing times per image. The macro, detailed instructions for use, and sample images are freely available online (https://github.com/IBMTRostock/GIFT). We believe that the GIFT macro is a valuable new tool for researchers looking to quickly, easily and reliably assess fiber diameters in electrospun materials.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Programas Informáticos Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Programas Informáticos Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos