1995
DOI: 10.1117/12.198889
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<title>Multispectral imaging with a liquid crystal tunable filter</title>

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Cited by 40 publications
(27 citation statements)
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“…The Maestro™ system (CRI, Woburn, MA) of multispectral approaches to small animal imaging ( Figure 1) is based on the use of liquid crystal tunable filters (LCTFs 1 ; for descriptions of LCTF core technology, see Miller and Hoyt 1995, Gat 2000, and Hoyt et al 2001; Berman and Moore 1994 compare the LCTF method in some detail to other spectral imaging techniques).…”
Section: Lctf-based Spectral Imaging Hardwarementioning
confidence: 99%
“…The Maestro™ system (CRI, Woburn, MA) of multispectral approaches to small animal imaging ( Figure 1) is based on the use of liquid crystal tunable filters (LCTFs 1 ; for descriptions of LCTF core technology, see Miller and Hoyt 1995, Gat 2000, and Hoyt et al 2001; Berman and Moore 1994 compare the LCTF method in some detail to other spectral imaging techniques).…”
Section: Lctf-based Spectral Imaging Hardwarementioning
confidence: 99%
“…Birefringence filters include mainly birefringent plates and liquid crystals (LC) cells which can be controlled and tuned. Tunable filters are most commonly used for optical telecommunication 4 but lately also for biomedical spectral imaging such as Raman chemical imaging 5,6 and fluorescence microscopy applications. The design of an optical filter is against two major parameters, the bandwidth defined the full width at half maximum (FWHM) of its main output peak and the free spectral range (FSR) or the dynamic range, these two parameters are very desirable for wavelength filtering and tuning.…”
Section: Introductionmentioning
confidence: 99%
“…There are different types of multispectral imaging, among them most of them are filter-based which are also the one of our interest in this paper. In a typical filter-based imaging systems, either a set of traditional optical filters in a filter wheel, or a tunable filter 12,13 capable of many different configurations are employed. It acquires a multispectral image by taking multiple shots, one at a time with one filter.…”
Section: Introductionmentioning
confidence: 99%