Open Access
9 January 2021 Large volume holographic imaging for biological sample analysis
Derk van Grootheest, Temitope Agbana, Jan-Carel Diehl, Angela van Diepen, Vitaly Bezzubik, Gleb Vdovin
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Abstract

Significance: Particle field holography is a versatile technique to determine the size and distribution of moving or stationary particles in air or in a liquid without significant disturbance of the sample volume. Although this technique is applied in biological sample analysis, it is limited to small sample volumes, thus increasing the number of measurements per sample. In this work, we characterize the maximum achievable volume limit based on the specification of a given sensor to realize the development of a potentially low-cost, single-shot, large-volume holographic microscope.

Aim: We present mathematical formulas that will aid in the design and development and improve the focusing speed for the numerical reconstruction of registered holograms in particle field holographic microscopes. Our proposed methodology has potential application in the detection of Schistosoma haematobium eggs in human urine samples.

Approach: Using the Fraunhofer holography theory for opaque objects, we derived an exact formula for the maximum diffraction-limited volume for an in-line holographic setup. The proof-of-concept device built based on the derived formulas was experimentally validated with urine spiked with cultured Schistosoma haematobium eggs.

Results: Results obtained show that for urine spiked with Schistosoma haematobium eggs, the volume thickness is limited to several millimeters due to scattering properties of the sample. The distances of the target particles could be estimated directly from the hologram fringes.

Conclusion: The methodology proposed will aid in the development of large-volume holographic microscopes.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Derk van Grootheest, Temitope Agbana, Jan-Carel Diehl, Angela van Diepen, Vitaly Bezzubik, and Gleb Vdovin "Large volume holographic imaging for biological sample analysis," Journal of Biomedical Optics 26(1), 016502 (9 January 2021). https://doi.org/10.1117/1.JBO.26.1.016502
Received: 16 September 2020; Accepted: 15 December 2020; Published: 9 January 2021
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Particles

Sensors

Holography

Biological research

Statistical analysis

Holograms

Opacity

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