Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Sensors 2013, 13(7), 9267-9293; doi:10.3390/s130709267
Article

An Approach for Characterizing and Comparing Hyperspectral Microscopy Systems

1
, 1
, 1
, 2
, 2,3,4
, 2,3,5
 and 1,2,3,*
Received: 27 May 2013; in revised form: 8 July 2013 / Accepted: 15 July 2013 / Published: 19 July 2013
(This article belongs to the Special Issue Spectral Imaging at the Microscale and Beyond)
View Full-Text   |   Download PDF [869 KB, uploaded 21 June 2014]
Abstract: Hyperspectral imaging and analysis approaches offer accurate detection and quantification of fluorescently-labeled proteins and cells in highly autofluorescent tissues. However, selecting optimum acquisition settings for hyperspectral imaging is often a daunting task. In this study, we compared two hyperspectral systems—a widefield system with acoustic optical tunable filter (AOTF) and charge coupled device (CCD) camera, and a confocal system with diffraction gratings and photomultiplier tube (PMT) array. We measured the effects of system parameters on hyperspectral image quality and linear unmixing results. Parameters that were assessed for the confocal system included pinhole diameter, laser power, PMT gain and for the widefield system included arc lamp intensity, and camera gain. The signal-to-noise ratio (SNR) and the root-mean-square error (RMS error) were measured to assess system performance. Photobleaching dynamics were studied. Finally, theoretical sensitivity studies were performed to estimate the incremental response (sensitivity) and false-positive detection rates (specificity). Results indicate that hyperspectral imaging assays are highly dependent on system parameters and experimental conditions. For detection of green fluorescent protein (GFP)-expressing cells in fixed lung tissues, a confocal pinhole of five airy disk units, high excitation intensity and low detector gain were optimal. The theoretical sensitivity studies revealed that widefield hyperspectral microscopy was able to detect GFP with fewer false positive occurrences than confocal microscopy, even though confocal microscopy offered improved signal and noise characteristics. These studies provide a framework for optimization that can be applied to a variety of hyperspectral imaging systems.
Keywords: hyperspectral imaging; spectral analysis; microscopy; confocal; widefield; signal to noise ratio; photobleaching hyperspectral imaging; spectral analysis; microscopy; confocal; widefield; signal to noise ratio; photobleaching
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Annamdevula, N.S.; Sweat, B.; Favreau, P.; Lindsey, A.S.; Alvarez, D.F.; Rich, T.C.; Leavesley, S.J. An Approach for Characterizing and Comparing Hyperspectral Microscopy Systems. Sensors 2013, 13, 9267-9293.

AMA Style

Annamdevula NS, Sweat B, Favreau P, Lindsey AS, Alvarez DF, Rich TC, Leavesley SJ. An Approach for Characterizing and Comparing Hyperspectral Microscopy Systems. Sensors. 2013; 13(7):9267-9293.

Chicago/Turabian Style

Annamdevula, Naga S.; Sweat, Brenner; Favreau, Peter; Lindsey, Ashley S.; Alvarez, Diego F.; Rich, Thomas C.; Leavesley, Silas J. 2013. "An Approach for Characterizing and Comparing Hyperspectral Microscopy Systems." Sensors 13, no. 7: 9267-9293.



Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert