Addressing Data Management for Custom Built Hyperspectral Microscopy Station

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Addressing Data Management for Custom Built Hyperspectral Microscopy Station

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Addressing Data Management for Custom Built Hyperspectral Microscopy Station

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10306 - Optics (including laser optics and quantum optics)

Projekt

<a href="/cs/project/EH22_008%2F0004624" target="_blank" >EH22_008/0004624: PHOTOMACHINES-Reorganizace fotosyntetických buněk za účelem vysoké produkce terapeutických peptidů</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

5

Strana od-do

10876463

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Helsinki

Datum konání akce

9. 12. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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