A Compact Field-portable Computational Multispectral Microscope using Integrated Raspberry Pi

Abstract

In this paper, we present a compact field-portable computationalmultispectral microscopy system powered by an integrated RaspberryPi computer. The optical components of the low-cost, compactmicroscopy system consists of a cemented achromatic doubletlens place on top of a Raspberry Pi camera module, used tocapture magnified broadband microscopy imaging acquisitions atthree broadband channels in the visible spectrum based on theBayer pattern color filter array. The captured broadband microscopyacquisitions are then processed by a numerical spectral demultiplexer,which demultiplexes the magnified broadband acquisitionsto generate a set of narrowband microscopy images. A Helianthusstem was imaged using the proposed computational multispectralmicroscopy system, and demonstrated to be able to produce narrowbandmicroscopy images at 16 different wavelengths with a singleacquisition without the need for wavelength scanning, whichmakes it well-suited for fast microscopy imaging applications suchas the study of transient phenomenona.