Abstract
<p>Multispectral microscopy is a method of capturing spectral bands<br />using a microscope, and is used to observe specimens on a micron<br />or nano scale. However, these systems are limited because they<br />cannot capture transient phenomena since they cannot capture simultaneous<br />spectral information. We propose a new method called<br />numerical spectral demultiplexing microscopy (NSDM) which utilizes<br />a Raspberry Pi camera to capture RGB measurements and<br />then infer narrow-band multispectral spectra. This is accomplished<br />by training a non-linear regression random forest model based on<br />the spectral sensitivity of the camera which allows for a low-cost,<br />portable, and simultaneous capture multispectral microscopy system.<br />We use the NSDM system as a bright-field multispectral microscope<br />and a dark-field fluorescence multispectral microscope<br />on an anatomical specimen and show that additional information<br />can be gathered by combining a bright-field and dark-field fluorescence<br />microscope.</p>
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call