Number of the records: 1
Addressing Data Management for Custom Built Hyperspectral Microscopy Station
- 1.
SYSNO ASEP 0618211 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Addressing Data Management for Custom Built Hyperspectral Microscopy Station Author(s) Vaculík, Ondřej (UPT-D)
Šerý, Mojmír (UPT-D) RID, SAI
Šilhan, Lukáš (UPT-D)
Šilhanová, Denisa (UPT-D)
Zemánek, Pavel (UPT-D) RID, SAI, ORCIDNumber of authors 5 Article number 10876463 Source Title 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). - New York : IEEE, 2024 - ISBN 979-8-3315-1313-9 Number of pages 5 s. Publication form Online - E Action Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing /14./ Event date 09.12.2024 - 11.12.2024 VEvent location Helsinki Country FI - Finland Event type WRD Language eng - English Country US - United States Keywords pushbroom hyperspectral imaging ; di-mensionality reduction ; image compression ; machine learning ; data management Subject RIV BH - Optics, Masers, Lasers OECD category Optics (including laser optics and quantum optics) R&D Projects EH22_008/0004624 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UPT-D - RVO:68081731 EID SCOPUS 86000259443 DOI https://doi.org/10.1109/WHISPERS65427.2024.10876463 Annotation 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. Workplace Institute of Scientific Instruments Contact Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Year of Publishing 2025 Electronic address https://ieeexplore.ieee.org/document/10876463
Number of the records: 1