TY - JOUR
T1 - Advanced imaging of multiple mRNAs in brain tissue using a custom hyperspectral imager and multivariate curve resolution
AU - Sutherland, Vicki L.
AU - Timlin, Jerilyn A.
AU - Nieman, Linda T.
AU - Guzowski, John F.
AU - Chawla, Monica K.
AU - Worley, Paul F.
AU - Roysam, Badri
AU - McNaughton, Bruce L.
AU - Sinclair, Michael B.
AU - Barnes, Carol A.
N1 - Funding Information:
This study was supported by the National Institutes of Health, AG018230, AG023309 and AG009219. We thank Michelle Carroll for secretarial assistance and David Haaland, Howland Jones, Michael Keenan, David Melgaard, Greg Poulter, Christopher Stork, and Mark VanBentham for developing the MCR analysis algorithms and software. *Sandia is a multi-program laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under Contract DE-ACO4-94AL85000.
PY - 2007/2/15
Y1 - 2007/2/15
N2 - Simultaneous imaging of multiple cellular components is of tremendous importance in the study of complex biological systems, but the inability to use probes with similar emission spectra and the time consuming nature of collecting images on a confocal microscope are prohibitive. Hyperspectral imaging technology, originally developed for remote sensing applications, has been adapted to measure multiple genes in complex biological tissues. A spectral imaging microscope was used to acquire overlapping fluorescence emissions from specific mRNAs in brain tissue by scanning the samples using a single fluorescence excitation wavelength. The underlying component spectra obtained from the samples are then separated into their respective spectral signatures using multivariate analyses, enabling the simultaneous quantitative measurement of multiple genes either at regional or cellular levels.
AB - Simultaneous imaging of multiple cellular components is of tremendous importance in the study of complex biological systems, but the inability to use probes with similar emission spectra and the time consuming nature of collecting images on a confocal microscope are prohibitive. Hyperspectral imaging technology, originally developed for remote sensing applications, has been adapted to measure multiple genes in complex biological tissues. A spectral imaging microscope was used to acquire overlapping fluorescence emissions from specific mRNAs in brain tissue by scanning the samples using a single fluorescence excitation wavelength. The underlying component spectra obtained from the samples are then separated into their respective spectral signatures using multivariate analyses, enabling the simultaneous quantitative measurement of multiple genes either at regional or cellular levels.
KW - Fluorescence imaging
KW - Hyperspectral imaging
KW - Immediate early genes
KW - Multivariate image analysis
KW - Pushbroom line-imaging
KW - Spectral unmixing
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U2 - 10.1016/j.jneumeth.2006.08.018
DO - 10.1016/j.jneumeth.2006.08.018
M3 - Article
C2 - 17049619
AN - SCOPUS:33846331260
VL - 160
SP - 144
EP - 148
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
SN - 0165-0270
IS - 1
ER -