Paper
16 February 2017 Novel system for measuring giant spectral images and its application for cancer detection
Pramod Kumar, Irina Marin, Daniela Necula, Irena Bronshtein-Berger, Moshe Linder, Zav Shotan, Gali Zimmerman-Moreno, Arnaldo Mayer, Iris Barshack, Yuval Garini
Author Affiliations +
Abstract
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pramod Kumar, Irina Marin, Daniela Necula, Irena Bronshtein-Berger, Moshe Linder, Zav Shotan, Gali Zimmerman-Moreno, Arnaldo Mayer, Iris Barshack, and Yuval Garini "Novel system for measuring giant spectral images and its application for cancer detection", Proc. SPIE 10068, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV, 100680N (16 February 2017); https://doi.org/10.1117/12.2253531
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KEYWORDS
Imaging spectroscopy

Imaging systems

Cameras

Tissues

RGB color model

Cancer

Interferometers

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