Multiple exposure speckle imaging contrast database obtained in vitro on microfluidic chips for various exposure, channel width, flows and optical magnification

DOI

The dataset is composed of speckle contrast images of microfluidic channels with different flows and different exposure times. Speckle contrast images are provided for two optical magnification under each experimental condition. The dataset has been used to train a convolutionnal neural network for inference of blood flow maps using multiple exposure speckle contrast images as inputs. ( Further details on experimental methods and contents of the dataset are provided in the readme.txt file)

ImageJ, 1.54d

Micro-Manager, 1.43

Identifier
DOI https://doi.org/10.57745/KHGHTO
Related Identifier https://doi.org/10.1364/BOE.492739
Related Identifier https://doi.org/10.1038/s41598-022-08647-6
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/KHGHTO
Provenance
Creator Pain, Frédéric ORCID logo; Chammas, Marc ORCID logo
Publisher Recherche Data Gouv
Contributor Pain, Frédéric; Chammas, Marc; Université Paris-Saclay, Institut d'Optique Graduate School, CNRS, Laboratoire Charles Fabry, 91127, Palaiseau, France; Université Paris-Saclay; Institut d'Optique Graduate School; Centre National de la Recherche Scientifique; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2023
Funding Reference Campus France PHC ORCHID 2021-2022
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Pain, Frédéric (Université Paris-Saclay, Institut d'Optique Graduate School, CNRS, Laboratoire Charles Fabry, 91127, Palaiseau, France.)
Representation
Resource Type Image; Dataset
Format image/tiff; text/plain
Size 11060085; 5237
Version 1.1
Discipline Computer Science; Engineering Sciences; Life Sciences; Physics; Construction Engineering and Architecture; Engineering; Medicine; Natural Sciences