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Proceedings Paper

Virtual spectral multiplexing for applications in in-situ imaging microscopy of transient phenomena
Author(s): Jason Deglint; Farnoud Kazemzadeh; Mohammad Javad Shafiee; Edward Li; Iman Khodadad; Simarjeet S. Saini; Alexander Wong; David A. Clausi
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Paper Abstract

Multispectral sensing is specifically designed to provide quantitative spectral information about various materials or scenes. Using spectral information, various properties of objects can be measured and analysed. Microscopy, the observing and imaging of objects at the micron- or nano-scale, is one application where multispectral sensing can be advantageous, as many fields of science and research that use microscopy would benefit from observing a specimen in multiple wavelengths. Multispectral microscopy is available, but often requires the operator of the device to switch filters which is a labor intensive process. Furthermore, the need for filter switching makes such systems particularly limiting in cases where the sample contains live species that are constantly moving or exhibit transient phenomena. Direct methods for capturing multispectral data of a live sample simultaneously can also be challenging for microscopy applications as it requires an elaborate optical systems design which uses beamsplitters and a number of detectors proportional to the number of bands sought after. Such devices can therefore be quite costly to build and difficult to maintain, particularly for microscopy. In this paper, we present the concept of virtual spectral demultiplexing imaging (VSDI) microscopy for low-cost in-situ multispectral microscopy of transient phenomena. In VSDI microscopy, the spectral response of a color detector in the microscope is characterized and virtual spectral demultiplexing is performed on the simultaneously-acquired broadband detector measurements based on the developed spectral characterization model to produce microscopic imagery at multiple wavelengths. The proposed VSDI microscope was used to observe colorful nanowire arrays at various wavelengths simultaneously to illustrate its efficacy.

Paper Details

Date Published: 22 September 2015
PDF: 9 pages
Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95992D (22 September 2015); doi: 10.1117/12.2188228
Show Author Affiliations
Jason Deglint, Univ. of Waterloo (Canada)
Farnoud Kazemzadeh, Univ. of Waterloo (Canada)
Mohammad Javad Shafiee, Univ. of Waterloo (Canada)
Edward Li, Univ. of Waterloo (Canada)
Iman Khodadad, Univ. of Waterloo (Canada)
Simarjeet S. Saini, Univ. of Waterloo (Canada)
Alexander Wong, Univ. of Waterloo (Canada)
David A. Clausi, Univ. of Waterloo (Canada)


Published in SPIE Proceedings Vol. 9599:
Applications of Digital Image Processing XXXVIII
Andrew G. Tescher, Editor(s)

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