Application of principal component analysis to multispectral-multimodal optical image analysis for malaria diagnostics.

Citation:
Omucheni DL, Kaduki KA, Bulimo WD, Angeyo HK. "Application of principal component analysis to multispectral-multimodal optical image analysis for malaria diagnostics." Malar. J.. 2014;13:485.

Abstract:

Multispectral imaging microscopy is a novel microscopic technique that integrates spectroscopy with optical imaging to record both spectral and spatial information of a specimen. This enables acquisition of a large and more informative dataset than is achievable in conventional optical microscopy. However, such data are characterized by high signal correlation and are difficult to interpret using univariate data analysis techniques.

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