Cargando…

Large volume holographic imaging for biological sample analysis

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 sma...

Descripción completa

Detalles Bibliográficos
Autores principales: van Grootheest, Derk, Agbana, Temitope, Diehl, Jan-Carel, van Diepen, Angela, Bezzubik, Vitaly, Vdovin, Gleb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850981/
https://www.ncbi.nlm.nih.gov/pubmed/33423408
http://dx.doi.org/10.1117/1.JBO.26.1.016502
_version_ 1783645548607176704
author van Grootheest, Derk
Agbana, Temitope
Diehl, Jan-Carel
van Diepen, Angela
Bezzubik, Vitaly
Vdovin, Gleb
author_facet van Grootheest, Derk
Agbana, Temitope
Diehl, Jan-Carel
van Diepen, Angela
Bezzubik, Vitaly
Vdovin, Gleb
author_sort van Grootheest, Derk
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7850981
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Society of Photo-Optical Instrumentation Engineers
record_format MEDLINE/PubMed
spelling pubmed-78509812021-02-02 Large volume holographic imaging for biological sample analysis van Grootheest, Derk Agbana, Temitope Diehl, Jan-Carel van Diepen, Angela Bezzubik, Vitaly Vdovin, Gleb J Biomed Opt Microscopy 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. Society of Photo-Optical Instrumentation Engineers 2021-01-09 2021-01 /pmc/articles/PMC7850981/ /pubmed/33423408 http://dx.doi.org/10.1117/1.JBO.26.1.016502 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Microscopy
van Grootheest, Derk
Agbana, Temitope
Diehl, Jan-Carel
van Diepen, Angela
Bezzubik, Vitaly
Vdovin, Gleb
Large volume holographic imaging for biological sample analysis
title Large volume holographic imaging for biological sample analysis
title_full Large volume holographic imaging for biological sample analysis
title_fullStr Large volume holographic imaging for biological sample analysis
title_full_unstemmed Large volume holographic imaging for biological sample analysis
title_short Large volume holographic imaging for biological sample analysis
title_sort large volume holographic imaging for biological sample analysis
topic Microscopy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850981/
https://www.ncbi.nlm.nih.gov/pubmed/33423408
http://dx.doi.org/10.1117/1.JBO.26.1.016502
work_keys_str_mv AT vangrootheestderk largevolumeholographicimagingforbiologicalsampleanalysis
AT agbanatemitope largevolumeholographicimagingforbiologicalsampleanalysis
AT diehljancarel largevolumeholographicimagingforbiologicalsampleanalysis
AT vandiepenangela largevolumeholographicimagingforbiologicalsampleanalysis
AT bezzubikvitaly largevolumeholographicimagingforbiologicalsampleanalysis
AT vdovingleb largevolumeholographicimagingforbiologicalsampleanalysis