Sponsor
The work described in this paper was performed in part at the Jet Propulsion Laboratory, California Institute of Technology under contract with the National Aeronautics and Space Administration and in part at the California Institute of Technology under grants GBMF -4037 and GBMF-4038 from the Gordon and Betty Moore Foundation.
Published In
2020 IEEE Aerospace Conference
Document Type
Article
Publication Date
8-2021
Subjects
Microscopes -- Digital Holographic
Abstract
Digital holographic microscopy provides the ability to observe throughout a volume that is large compared to its resolution element without the need to refocus through the volume. This capability enables simultaneous observations of large numbers of small objects within such a volume. We have constructed a microscope that can observe a volume 0.4 x 0.4 x 1.0 μm with submicrometer resolution for observation of microorganisms and minerals in liquid environments in earth and on potential planetary missions. Because environmental samples are likely to contain mixtures of inorganics and microorganisms that are of comparable sizes near the resolution limit of the instrument, discrimination of living and non-living objects may be difficult. The motion of motile organisms can be used to readily distinguish them from non-motile objects (live or inorganic), but additional methods are required to distinguish non-motile organisms and inorganic objects that are of comparable size but different composition and structure. In this paper we evaluate the use of passive motion to make this discrimination by evaluating diffusion and buoyancy characteristics of objects in the field of view.
Rights
Copyright (c) 2021 The Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
Locate the Document
DOI
10.1109/AERO47225.2020.9172746
Persistent Identifier
https://archives.pdx.edu/ds/psu/34087
Publisher
IEEE
Citation Details
Lindensmith, C., Nadeau, J. L., Bedrossian, M., Sumrall, L., Wallace, J. K., & Serabyn, E. (2020). Microscopic Object Classification through Passive Motion Observations with Holographic Microscopy. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/aero47225.2020.9172746
Description
*At the time of publication, Manuel Bedrossian was affiliated with California Institute of Technology.