Addressing Data Management for Custom Built Hyperspectral Microscopy Station

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F24%3A00618211" target="_blank" >RIV/68081731:_____/24:00618211 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10876463" target="_blank" >https://ieeexplore.ieee.org/document/10876463</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WHISPERS65427.2024.10876463" target="_blank" >10.1109/WHISPERS65427.2024.10876463</a>

Result language
angličtina
Original language name
Addressing Data Management for Custom Built Hyperspectral Microscopy Station
Original language description
Hyperspectral (HS) imaging, originally developed for satellite applications as a remote sensing spatiospectral analysis technique, has been adopted by numerous scientific fields [1], [2]. By combining HS imaging and microscopy, we can capture not only spectral and spatial information but also non-destructively uncover compositional and chemical information, which is especially beneficial for applications in agriculture [3], food safety and inspection [4], medical research [5], microbiology [6] and algae research [7]. To assist in this endeavor, we have developed a modular pushbroom HS microscope platform that allows automated HS measurement to be conducted. This naturally poses a problem in the form of proper data management, as the volume and data storage requirements for such a type of system are essential to plan for in advance. In this paper, we address this problem and present our HS data management workflow with complete data and metadata collection, suitable format selection, and data compression, all with the FAIR [8] data principles in mind.
Czech name
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Czech description
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Project
<a href="/en/project/EH22_008%2F0004624" target="_blank" >EH22_008/0004624: PHOTOMACHINES - Photosynthetic cell redesign for high yields of therapeutic peptides</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
ISBN
979-8-3315-1313-9
ISSN
2158-6276
e-ISSN
2158-6276
Number of pages
5
Pages from-to
10876463
Publisher name
IEEE
Place of publication
New York
Event location
Helsinki
Event date
Dec 9, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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