Abstract
We demonstrate the use of two-color digital holographic microscopy (DHM) for imaging microbiological subjects. The use of two wavelengths significantly reduces artifacts present in the reconstructed data, allowing us to image weakly scattering objects in close
proximity to strongly-scattering objects. We demonstrate this by reconstructing the shape of the flagellum of a single-cell eukaryotic parasite Leishmania mexicana in close proximity to a more strongly-scattering cell body. Our approach also yields a reduction of approximately one third in the axial position uncertainty when tracking the motion of swimming cells at low magnification, which we demonstrate with a sample of Escherichia coli bacteria mixed with polystyrene beads. The two-wavelength system that we describe introduces minimal additional complexity into the optical system, and provides significant benefits.
proximity to strongly-scattering objects. We demonstrate this by reconstructing the shape of the flagellum of a single-cell eukaryotic parasite Leishmania mexicana in close proximity to a more strongly-scattering cell body. Our approach also yields a reduction of approximately one third in the axial position uncertainty when tracking the motion of swimming cells at low magnification, which we demonstrate with a sample of Escherichia coli bacteria mixed with polystyrene beads. The two-wavelength system that we describe introduces minimal additional complexity into the optical system, and provides significant benefits.
Original language | English |
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Pages (from-to) | 28489-28500 |
Number of pages | 12 |
Journal | Optics Express |
Volume | 25 |
Issue number | 23 |
DOIs | |
Publication status | Published - 13 Nov 2017 |
Bibliographical note
This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for detailsDatasets
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Two-colour holography I
Wilson, L. G. (Creator), University of York, 15 Aug 2017
DOI: 10.15124/5d61ce08-7ec5-4981-9980-fd4cc8a1b578
Dataset