Deconvolution of Very Large Data Sets with Huygens is published in Imaging & Microscopy private

Monday 01 of June, 2015
DeconvolutionVeryLargeDatasets
Scientific Volume Imaging is proud to announce that the article Deconvolution of Very Large Data Sets by A. Ponti, Y. Belyaev, N. Ehrenfeuchter and D. Sevilla Sanchez, has been published in the most recent edition of Imaging & Microscopy Issue 2, 2015.
In this paper the authors describe how the Huygens Remote Manager, which is the open-source and web-based deconvolution scheduler for Huygens Core, can be used to efficiently schedule and process deconvolution jobs for very large datasets with sizes as large as 1 TB, generated by spinning-disk and SPIM microscopes. Because spinning-disk and SPIM systems allow for very fast and large field-of-view 3D imaging, they are often used in studies of Drosophila Embryo development. However, like all optical microscope systems, the images generated by these systems also suffer from noise and blurring, but luckily the images can be efficiently restored with the powerful Huygens deconvolution algorithms.

Article abstract: The Huygens Remote Manager (HRM) is an open-source, multi-user, web-based batch processor for large scale restoration of microscopy images. By enabling mass deconvolution, HRM aims at maximizing the volume of data suitable for segmentation, quantification and analysis. Recent deconvolution runs of large spinning disk and SPIM images show that while these images present a true challenge for current desktop computers, they can be easily processed on a small HRM server automatically.

The complete issue 2, 2015 of Imaging & Microscopy can be found here and the article can be found on page 22-23.

We would like to acknowledge Dr. Livio Kleij (facility) and Dr. Martijn Vromans, Dept of Medical Oncology, UMC Utrecht, The Netherlands for providing the image presented in the article header.

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