Literature DB >> 17049619

Advanced imaging of multiple mRNAs in brain tissue using a custom hyperspectral imager and multivariate curve resolution.

Vicki L Sutherland1, Jerilyn A Timlin, Linda T Nieman, John F Guzowski, Monica K Chawla, Paul F Worley, Badri Roysam, Bruce L McNaughton, Michael B Sinclair, Carol A Barnes.   

Abstract

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.

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Year:  2006        PMID: 17049619      PMCID: PMC1815393          DOI: 10.1016/j.jneumeth.2006.08.018

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  12 in total

1.  Environment-specific expression of the immediate-early gene Arc in hippocampal neuronal ensembles.

Authors:  J F Guzowski; B L McNaughton; C A Barnes; P F Worley
Journal:  Nat Neurosci       Date:  1999-12       Impact factor: 24.884

2.  Hyperspectral imaging: a novel approach for microscopic analysis.

Authors:  R A Schultz; T Nielsen; J R Zavaleta; R Ruch; R Wyatt; H R Garner
Journal:  Cytometry       Date:  2001-04-01

Review 3.  Multi-spectral imaging and linear unmixing add a whole new dimension to laser scanning fluorescence microscopy.

Authors:  M E Dickinson; G Bearman; S Tille; R Lansford; S E Fraser
Journal:  Biotechniques       Date:  2001-12       Impact factor: 1.993

4.  Automated analysis of SEM X-ray spectral images: a powerful new microanalysis tool.

Authors:  Paul G Kotula; Michael R Keenan; Joseph R Michael
Journal:  Microsc Microanal       Date:  2003-02       Impact factor: 4.127

5.  Experience-dependent coincident expression of the effector immediate-early genes arc and Homer 1a in hippocampal and neocortical neuronal networks.

Authors:  Almira Vazdarjanova; Bruce L McNaughton; Carol A Barnes; Paul F Worley; John F Guzowski
Journal:  J Neurosci       Date:  2002-12-01       Impact factor: 6.167

6.  Multivariate curve resolution in the analysis of vibrational spectroscopy data files.

Authors:  Jon R Schoonover; Rob Marx; Shuliang L Zhang
Journal:  Appl Spectrosc       Date:  2003-05       Impact factor: 2.388

Review 7.  Spectral imaging and its applications in live cell microscopy.

Authors:  Timo Zimmermann; Jens Rietdorf; Rainer Pepperkok
Journal:  FEBS Lett       Date:  2003-07-03       Impact factor: 4.124

8.  Characteristics and capabilities of the hyperspectral imaging microscope.

Authors:  Michael L Huebschman; Roger A Schultz; Harold R Garner
Journal:  IEEE Eng Med Biol Mag       Date:  2002 Jul-Aug

9.  Design, construction, characterization, and application of a hyperspectral microarray scanner.

Authors:  Michael B Sinclair; Jerilyn A Timlin; David M Haaland; Margaret Werner-Washburne
Journal:  Appl Opt       Date:  2004-04-01       Impact factor: 1.980

10.  Experience-dependent gene expression in the rat hippocampus after spatial learning: a comparison of the immediate-early genes Arc, c-fos, and zif268.

Authors:  J F Guzowski; B Setlow; E K Wagner; J L McGaugh
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

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  7 in total

1.  Blind source separation techniques for the decomposition of multiply labeled fluorescence images.

Authors:  Richard A Neher; Miso Mitkovski; Frank Kirchhoff; Erwin Neher; Fabian J Theis; André Zeug
Journal:  Biophys J       Date:  2009-05-06       Impact factor: 4.033

2.  Lenslet array tunable snapshot imaging spectrometer (LATIS) for hyperspectral fluorescence microscopy.

Authors:  Jason G Dwight; Tomasz S Tkaczyk
Journal:  Biomed Opt Express       Date:  2017-02-28       Impact factor: 3.732

3.  Line-scanning hyperspectral imaging based on structured illumination optical sectioning.

Authors:  Yu John Hsu; Chih-Chiang Chen; Chien-Hsiang Huang; Chia-Hua Yeh; Li-Ying Liu; Szu-Yu Chen
Journal:  Biomed Opt Express       Date:  2017-05-18       Impact factor: 3.732

4.  Accurate detection of low levels of fluorescence emission in autofluorescent background: francisella-infected macrophage cells.

Authors:  Ryan W Davis; Jerilyn A Timlin; Julia N Kaiser; Michael B Sinclair; Howland D T Jones; Todd W Lane
Journal:  Microsc Microanal       Date:  2010-06-22       Impact factor: 4.127

5.  Microscopy is better in color: development of a streamlined spectral light path for real-time multiplex fluorescence microscopy.

Authors:  Craig M Browning; Samantha Mayes; Samuel A Mayes; Thomas C Rich; Silas J Leavesley
Journal:  Biomed Opt Express       Date:  2022-06-07       Impact factor: 3.562

6.  Compact Image Slicing Spectrometer (ISS) for hyperspectral fluorescence microscopy.

Authors:  Liang Gao; Robert T Kester; Tomasz S Tkaczyk
Journal:  Opt Express       Date:  2009-07-20       Impact factor: 3.894

7.  Plant leaf chlorophyll content retrieval based on a field imaging spectroscopy system.

Authors:  Bo Liu; Yue-Min Yue; Ru Li; Wen-Jing Shen; Ke-Lin Wang
Journal:  Sensors (Basel)       Date:  2014-10-23       Impact factor: 3.576

  7 in total

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