BatchDeconvolution: a Fiji plugin for increasing deconvolution workflow

• Autorzy: Baster Zbigniew , Rajfur Zenon

Identyfikatory

DOI

10.1515/bams-2020-0027

• Języki publikacji: EN

Abstrakty

EN

Deconvolution microscopy is a very useful, software-based technique allowing to deblur microscopy images and increase both lateral and axial resolutions. It can be used along with many of fluorescence microscopy imaging techniques. By increasing axial resolution, it also enables three-dimensional imaging using a basic wide-field fluorescence microscope. Unfortunately, commercially available deconvolution software is expensive, while freely available programs have limited capabilities of a batch file processing. In this work we presentBatchDeconvolution, a Fiji plugin that bridges two programs that we used subsequentlyin an image deconvolution pipeline: PSF Generator and DeconvolutionLab2, both from Biomedical Imaging Group, EPFL. Our software provides a simple way to perform a batch processing of multiple microscopy files with minimal working time required from the user.

Słowa kluczowe

EN

deconvolution microscopy; Fiji; image deconvolution; ImageJ; point spread function

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2020
• Tom: Vol. 16, no. 3
• Strony: art. no. 20200027
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Baster Zbigniew

• Department of Molecular and Interfacial Biophysics, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Krakow, Poland
• Institute of Physics, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, 11 Lojasiewicza Street, 30-348 Krakow, Poland. Phone: [phone]

autor

Rajfur Zenon

• Department of Molecular and Interfacial Biophysics, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Krakow, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).