Huygens Remote Manager
Table of contents
The Huygens Remote Manager (HRM) is a web task manager for servers that acts as an interface to Huygens Core to do multiuser batch deconvolution.
HRM was developed by Huygens users at the Montpellier Rio Imaging
facility, the Facility for Advanced Imaging and Microscopy at the Friedrich Miescher Institute (FMI, Basel) and the BioImaging and Optics Platform at the Ecole Polytechnique Fédérale de Lausanne.The HRM front page.
HRM is a free and open source project, and can be downloaded from the website
of the HRM project as well as from Sourceforge. Scientific Volume Imaging participates in this project by contributing its experience in deconvolution and software engineering.Features
Some of the great features of HRM are:- Online multi-user batch deconvolution.
- Signal to Noise ratio estimation tools.
- Automatic metadata imports.
- Clear reports with the parameters used in the deconvolution.
- Upload sets of images at once.
- Clear administration of users including statistics.
- System overviews to manage software versions and system memory.
- Deployment in any number of servers.
- Job priorities organized by the Queue Manager .
HRM Demo site
A free-to-access HRM site exists for demo purposes. This HRM installation is intended to show the usability of the HRM interface rather than the capabilities of Huygens.
Just login with the guest account or apply for a personal account to upload and deconvolve owned images.
Installation and usage
The website
of the HRM project contains the official installation instructions for both Linux and MacOS. For extra installation notes, see Hrm Installation. Also have a look at the HRM/HuCore Frequently Asked Questions.The HRM User Guide can be downloaded from this link
.References
"Huygens Remote Manager, a Web Interface for High Volume Batch Deconvolution".
A. Ponti, A. Gulati, V. Bäcker and P. Schwarb.
Imaging & Microscopy (2007) V 9, No. 2, pp 57-58
Unabridged version PDF
(distributed with permission)Abstract: Nowadays, deconvolution in cell and tissue imaging has matured into a standard restoration technique that is accessible to large fraction of the microscopy community thanks to steadily improving algorithms. Still, deconvolution is often the rate-limiting step in the analysis of the acquired data, even at today’s computer performance. Here, we present the Huygens Remote Manager, an open-source, efficient, multi-user web-based interface for parallel batch deconvolutions.