The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Multispectral imaging in biology and medicine: Slices of life
Open accessAbstract
Multispectral imaging (MSI) is currently in a period of transition from its role as an exotic technique to its being offered in one form or another by all the major microscopy manufacturers. This is because it provides solutions to some of the major challenges in fluorescence‐based imaging, namely ameliorating the consequences of the presence of autofluorescence and the need to easily accommodate relatively high levels of signal multiplexing. MSI, which spectrally characterizes and computationally eliminates autofluorescence, enhances the signal‐to‐background dramatically, revealing otherwise obscured targets. While this article concentrates on examples derived from liquid‐crystal tunable filter‐based technology, the intent is to showcase the advantages of multispectral imaging in general. Some technologies used to generate multispectral images are compatible with only particular optical configurations, such as point‐scanning laser confocal microscopy. Band‐sequential approaches, such as those afforded by liquid‐crystal tunable filters (LCTFs), can be conveniently coupled with a variety of imaging modalities, which, in addition to fluorescence microscopy, include brightfield (nonfluorescent) microscopy as well as small‐animal, noninvasive in‐vivo imaging. Brightfield microscopy is the chosen format for histopathology, which relies on immunohistochemistry to provide molecularly resolved clinical information. However, in contrast to fluorescent labels, multiple chromogens, if they spatially overlap, are much harder to separate and quantitate, unless MSI approaches are used. In‐vivo imaging is a rapidly growing field with applications in basic biology, drug discovery, and clinical medicine. The sensitivity of fluorescence‐based in‐vivo imaging, as with fluorescence microscopy, can be limited by the presence of significant autofluorescence, a limitation which can be overcome through the utilization of MSI. © 2006 International Society for Analytical Cytology
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In vivo cancer targeting and imaging with semiconductor quantum dots
Gao, X., Cui, Y., Levenson, R. M., Chung, L. W. K., & Nie, S. (2004) · Nature Biotechnology · doi:10.1038/nbt994 · Cited by 4,772
Self-citationQuantification of histochemical staining by color deconvolution.
Ruifrok, A. C. C., & Johnston, D. A. (2001) · PubMed · Cited by 2,029
In vivo imaging of tumors with protease-activated near-infrared fluorescent probes
Weissleder, R., Tung, C.-H., Mahmood, U., & Bogdanov, A. (1999) · Nature Biotechnology · doi:10.1038/7933 · Cited by 1,591
Looking and listening to light: the evolution of whole-body photonic imaging
Ntziachristos, V., Ripoll, J., Wang, L. V., & Weissleder, R. (2005) · Nature Biotechnology · doi:10.1038/nbt1074 · Cited by 1,557
Weissleder, R., & Mahmood, U. (2001) · Radiology · doi:10.1148/radiology.219.2.r01ma19316 · Cited by 1,315
Advances in In Vivo Bioluminescence Imaging of Gene Expression
Contag, C. H., & Bachmann, M. H. (2002) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.4.111901.093336 · Cited by 870
Voura, E. B., Jaiswal, J. K., Mattoussi, H., & Simon, S. M. (2004) · Nature Medicine · doi:10.1038/nm1096 · Cited by 688
Spectral imaging and its applications in live cell microscopy
Zimmermann, T., Rietdorf, J., & Pepperkok, R. (2003) · FEBS Letters · doi:10.1016/s0014-5793(03)00521-0 · Cited by 536
In vivo imaging of light-emitting probes
Rice, B. W., Cable, M. D., & Nelson, M. B. (2001) · Journal of Biomedical Optics · doi:10.1117/1.1413210 · Cited by 493
Troy, T., Jekic-McMullen, D., Sambucetti, L., & Rice, B. (2004) · Molecular Imaging · doi:10.1162/153535004773861688 · Cited by 418
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Hoozemans, J. J. M., van Haastert, E. S., Eikelenboom, P., de Vos, R. A. I., Rozemuller, J. M., & Scheper, W. (2007) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2007.01.043 · Cited by 525
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Metadata
- Authors
- Levenson, R. M., & Mansfield, J. R.
- Venue
- Cytometry Part A
- Publisher
- Wiley
- Published
- 2006-08
- Volume
- 69A
- Issue
- 8
- Pages
- 748-758
- ISSN
- 1552-4922 (ISSN-L)
- 1552-4930
- OpenAlex
- W2070263748
- Cited by
- 288
- References
- 27
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- bronze
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