Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI: | http://purl.tuc.gr/dl/dias/6F4276FC-0844-4D85-B604-E47596308E94 | ||
| Year | 2023 | ||
| Type of Item | Master Thesis | ||
| License |
|
||
| Bibliographic Citation | Christos Chousos, "Development of a robotic, spectral microscope for the automated microanalysis of massive sample populations", Master Thesis, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2023 https://doi.org/10.26233/heallink.tuc.96935 | ||
| Appears in Collections |
With the rapid advancement of microscopy, new digital imaging techniques continuously emerge, enriching the visualization of diagnostic features. The existing state-of-the-art machinery, which prioritizes diagnostic performance, is noticeably deficient in terms of automation. As a result, the examination of large volumes of samples at microscopic magnification levels becomes impractical and time-consuming in real-world environments. Consequently, evaluations are limited on randomly selected representative areas, leading to subjectivity and significant discrepancies among observers. The convergence of mechatronics technologies, fast-multichannel imaging sensors, and powerful computational systems offers innovative opportunities for automated multimodal microscopy, thereby achieving enhanced diagnostic performance. This thesis focuses on developing an integrated multimodal high-throughput screening microscope that not only enhances spatial resolution but also combines various analysis and imaging techniques into a single instrument. By harnessing mechatronics technologies and advanced imaging capabilities, the proposed microscope revolutionizes microscopy and analysis, significantly reducing examination time while increasing diagnostic accuracy.
Copyright © DIAS 2013
