Visualizing minute details in light-sheet and confocal microscopy data by combining 3D rolling ball filtering and deconvolution.

bioimaging confocal microscopy deconvolution image processing light-sheet microscopy microscopy

Journal

Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567

Informations de publication

Date de publication:
02 2022
Historique:
revised: 27 10 2021
received: 14 09 2021
accepted: 29 10 2021
pubmed: 3 11 2021
medline: 5 3 2022
entrez: 2 11 2021
Statut: ppublish

Résumé

We developed an open-source deconvolution software that stunningly increases the visibility of minute details, as for example, neurons or nerve fibers in light-sheet microscopy or confocal microscopy data by combining rolling ball background subtraction in three directions with deconvolution using a synthetic or measured point spread function. Via automatic block-wise processing image stacks of virtually unlimited size can be deconvolved even on small computers with 8 or 16 GB RAM. By parallelization and optional GPU-acceleration, the software works with high speed: On a PC equipped with a state-of-the-art NVidia graphic board a three dimensional (3D)-stack of about 1 billion voxels can be deconvolved within 5 to 10 minutes. The implemented variation of the Richardson-Lucy deconvolution algorithm preserves the photogrammetry of the image data by using flux-preserving regularization, an approach that to our knowledge has not been applied for deconvolving microscopy data before.

Identifiants

pubmed: 34726837
doi: 10.1002/jbio.202100290
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e202100290

Informations de copyright

© 2021 The Authors. Journal of Biophotonics published by Wiley-VCH GmbH.

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Auteurs

Klaus Becker (K)

Department of Bioelectronics, FKE, Vienna University of Technology, Vienna, Austria.
Section of Bioelectronics, Center for Brain Research, Medical University of Vienna, Vienna, Austria.

Saiedeh Saghafi (S)

Department of Bioelectronics, FKE, Vienna University of Technology, Vienna, Austria.

Marko Pende (M)

Section of Bioelectronics, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Mount Desert Island Biological Laboratory (MDIBL), Bar Harbor, Maine, USA.

Christian Hahn (C)

Section of Bioelectronics, Center for Brain Research, Medical University of Vienna, Vienna, Austria.

Hans Ulrich Dodt (HU)

Department of Bioelectronics, FKE, Vienna University of Technology, Vienna, Austria.
Section of Bioelectronics, Center for Brain Research, Medical University of Vienna, Vienna, Austria.

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