Novel system for measuring giant spectral images and its application for cancer detection
| Autor: | Gali Zimmerman-Moreno, Arnaldo Mayer, Zav Shotan, Yuval Garini, Irena Bronshtein-Berger, Iris Barshack, Moshe Linder, Pramod Kumar, Daniela Necula, Irina Marin |
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| Rok vydání: | 2017 |
| Předmět: |
Physics
medicine.medical_specialty business.industry 010401 analytical chemistry Hyperspectral imaging 01 natural sciences Sample (graphics) 0104 chemical sciences Spectral imaging 010309 optics Optical axis Imaging spectroscopy Interferometry Optics 0103 physical sciences Microscopy Astronomical interferometer medicine business |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | Spectral imaging is an important method that is used for a whole spectrum of applications, but measuring very large spectral images is a challenge that so far was not achieved. We present a novel system for scanning very large spectral images of microscopy samples in a rather short time. The system captures the information while the sample is continuously being scanned on the fly. It therefore breaks the size and speed limits that resulted from existing spectral imaging methods. The spectral separation is achieved through Fourier spectroscopy by using an interferometer mounted along the optical axis (no moving parts). We describe the system and its use for pathological samples. |
| Databáze: | OpenAIRE |
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