Numerical Spectral Demulitplexing Microscopy of Measurements from an Anatomical Specimen

  • Jason Deglint
  • Farnoud Kazemzadeh
  • Alexander Wong
  • David Clausi

Abstract

Multispectral microscopy is a method of capturing spectral bands
using a microscope, and is used to observe specimens on a micron
or nano scale. However, these systems are limited because they
cannot capture transient phenomena since they cannot capture simultaneous
spectral information. We propose a new method called
numerical spectral demultiplexing microscopy (NSDM) which utilizes
a Raspberry Pi camera to capture RGB measurements and
then infer narrow-band multispectral spectra. This is accomplished
by training a non-linear regression random forest model based on
the spectral sensitivity of the camera which allows for a low-cost,
portable, and simultaneous capture multispectral microscopy system.
We use the NSDM system as a bright-field multispectral microscope
and a dark-field fluorescence multispectral microscope
on an anatomical specimen and show that additional information
can be gathered by combining a bright-field and dark-field fluorescence
microscope.

Published
2015-10-31
How to Cite
Deglint, J., Kazemzadeh, F., Wong, A., & Clausi, D. (2015). Numerical Spectral Demulitplexing Microscopy of Measurements from an Anatomical Specimen. Journal of Computational Vision and Imaging Systems, 1(1). https://doi.org/10.15353/vsnl.v1i1.41
Section
Articles