TY - JOUR
T1 - MicroVIP
T2 - Microscopy image simulation on the Virtual Imaging Platform
AU - Ahmad, Ali
AU - Vanel, Guillaume
AU - Camarasu-Pop, Sorina
AU - Bonnet, Axel
AU - Frindel, Carole
AU - Rousseau, David
N1 - Funding Information:
This work has been developed during the thesis of Ali AHMAD supported by project EU H2020 FET Open , PROCHIP, “Chromatin organization PROfiling with high-throughput super-resolution microscopy on a CHIP”, grant agreement no. 801336 ( https://pro-chip.eu/ . The application presented in this work is available through the Virtual Imaging Platform [29] , using the resources provided by the biomed virtual organisation of the EGI infrastructure. https://operations-portal.egi.eu/vo/view/voname/biomed
Funding Information:
This work has been developed during the thesis of Ali AHMAD supported by project EU H2020 FET Open, PROCHIP, ?Chromatin organization PROfiling with high-throughput super-resolution microscopy on a CHIP?, grant agreement no. 801336 (https://pro-chip.eu/. The application presented in this work is available through the Virtual Imaging Platform [29], using the resources provided by the biomed virtual organisation of the EGI infrastructure. https://operations-portal.egi.eu/vo/view/voname/biomed
Publisher Copyright:
© 2021 The Authors
PY - 2021/12
Y1 - 2021/12
N2 - MicroVIP is an open source software that assembles, in a unified web-application running on distributed computing resources, simulators of the main fluorescent microscopy imaging modalities (with existing codes or newly developed). MicroVIP provides realistic simulated images including several sources of noise (microfluidic blur effect, diffraction, Poisson noise, camera read out noise). MicroVIP also includes a module which simulates single cells with fluorescent markers and a module to analyze the simulated images with textural and pointillist feature spaces. MicroVIP is shown to be of value for supervised machine learning. It allow to automatically generate large sets of training images and virtual instrumentation to optimize the optical parameters before realizing real experiments.
AB - MicroVIP is an open source software that assembles, in a unified web-application running on distributed computing resources, simulators of the main fluorescent microscopy imaging modalities (with existing codes or newly developed). MicroVIP provides realistic simulated images including several sources of noise (microfluidic blur effect, diffraction, Poisson noise, camera read out noise). MicroVIP also includes a module which simulates single cells with fluorescent markers and a module to analyze the simulated images with textural and pointillist feature spaces. MicroVIP is shown to be of value for supervised machine learning. It allow to automatically generate large sets of training images and virtual instrumentation to optimize the optical parameters before realizing real experiments.
KW - Machine learning
KW - Microscopy image simulation
KW - Virtual Imaging Platform
UR - http://www.scopus.com/inward/record.url?scp=85119052033&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119052033&partnerID=8YFLogxK
U2 - 10.1016/j.softx.2021.100854
DO - 10.1016/j.softx.2021.100854
M3 - Article
AN - SCOPUS:85119052033
SN - 2352-7110
VL - 16
JO - SoftwareX
JF - SoftwareX
M1 - 100854
ER -