Abstract
BackgroundWe present an analysis of the utility of multispectral versus standard RGB imagery for routine H&E stained histopathology images, in particular for pixel-level classification of nuclei. Our multispectral imagery has 29 spectral bands, spaced 10 nm within the visual range of 420–700 nm. It has been hypothesized that the additional spectral bands contain further information useful for classification as compared to the 3 standard bands of RGB imagery. We present analyses of our data designed to test this hypothesis.ResultsFor classification using all available image bands, we find the best performance (equal tradeoff between detection rate and false alarm rate) is obtained from either the multispectral or our "ccd" RGB imagery, with an overall increase in performance of 0.79% compared to the next best performing image type. For classification using single image bands, the single best multispectral band (in the red portion of the spectrum) gave a performance increase of 0.57%, compared to performance of the single best RGB band (red). Additionally, red bands had the highest coefficients/preference in our classifiers. Principal components analysis of the multispectral imagery indicates only two significant image bands, which is not surprising given the presence of two stains.ConclusionOur results indicate that multispectral imagery for routine H&E stained histopathology provides minimal additional spectral information for a pixel-level nuclear classification task than would standard RGB imagery.
Highlights
We present an analysis of the utility of multispectral versus standard RGB imagery for routine H&E stained histopathology images, in particular for pixel-level classification of nuclei
We present analyses of our multispectral data designed to test the hypothesis that the additional spectral bands contain more information useful for classification as compared to the 3 standard bands of RGB microscopy imagery
We have shown a demonstration of performance for different image types and different classifiers in a nuclear classification task
Summary
We present an analysis of the utility of multispectral versus standard RGB imagery for routine H&E stained histopathology images, in particular for pixel-level classification of nuclei. While the use of multispectral light microscopy is new to cyto/histopathology, many researchers have used single or dual narrow-band filters to enhance imagery for particular stains, most using a red filter (or the red channel of an RGB image) for enhancement of Hematoxylin or Feulgen staining [8,9,10,11,12], and some using a green filter for enhancement of Feulgen staining [13,14,15,16]. We present analyses of our multispectral data designed to test the hypothesis that the additional spectral bands contain more information useful for classification as compared to the 3 standard bands of RGB microscopy imagery. The work presented here is an extension of the work presented in [17]
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