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Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing
Mechanical stages are routinely used to scan large expanses of biological specimens in photoacoustic imaging. This is primarily due to the limited field of view (FOV) provided by optical scanning. However, stage scanning becomes impractical at higher scanning speeds, or potentially unfeasible with h...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071083/ https://www.ncbi.nlm.nih.gov/pubmed/32075006 http://dx.doi.org/10.3390/s20041027 |
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author | Abbasi, Saad Bell, Kevan Haji Reza, Parsin |
author_facet | Abbasi, Saad Bell, Kevan Haji Reza, Parsin |
author_sort | Abbasi, Saad |
collection | PubMed |
description | Mechanical stages are routinely used to scan large expanses of biological specimens in photoacoustic imaging. This is primarily due to the limited field of view (FOV) provided by optical scanning. However, stage scanning becomes impractical at higher scanning speeds, or potentially unfeasible with heavier samples. Also, the slow scan-rate of the stages makes high resolution scanning a time-consuming process. Some clinical applications such as microsurgery require submicron resolution in a reflection-mode configuration necessitating a method that can acquire large field of views with a small raster scanning step size. In this study, we describe a method that combines mechanical stages with optical scanning for the rapid acquisition of high-resolution large FOVs. Optical scanning is used to acquire small frames in a two-dimensional grid formed by the mechanical stages. These frames are captured with specific overlap for effective image registration. Using a step size of 200 nm, we demonstrate mosaics of carbon fiber networks with FOVs of 0.8 × 0.8 mm(2) captured in under 70 s with 1.2 µm image resolution. Larger mosaics yielding an imaging area of 3 × 3 mm(2) are also shown. The method is validated by imaging a 1 × 1 mm(2) section of unstained histopathological human tissue. |
format | Online Article Text |
id | pubmed-7071083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70710832020-03-19 Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing Abbasi, Saad Bell, Kevan Haji Reza, Parsin Sensors (Basel) Article Mechanical stages are routinely used to scan large expanses of biological specimens in photoacoustic imaging. This is primarily due to the limited field of view (FOV) provided by optical scanning. However, stage scanning becomes impractical at higher scanning speeds, or potentially unfeasible with heavier samples. Also, the slow scan-rate of the stages makes high resolution scanning a time-consuming process. Some clinical applications such as microsurgery require submicron resolution in a reflection-mode configuration necessitating a method that can acquire large field of views with a small raster scanning step size. In this study, we describe a method that combines mechanical stages with optical scanning for the rapid acquisition of high-resolution large FOVs. Optical scanning is used to acquire small frames in a two-dimensional grid formed by the mechanical stages. These frames are captured with specific overlap for effective image registration. Using a step size of 200 nm, we demonstrate mosaics of carbon fiber networks with FOVs of 0.8 × 0.8 mm(2) captured in under 70 s with 1.2 µm image resolution. Larger mosaics yielding an imaging area of 3 × 3 mm(2) are also shown. The method is validated by imaging a 1 × 1 mm(2) section of unstained histopathological human tissue. MDPI 2020-02-14 /pmc/articles/PMC7071083/ /pubmed/32075006 http://dx.doi.org/10.3390/s20041027 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Abbasi, Saad Bell, Kevan Haji Reza, Parsin Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing |
title | Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing |
title_full | Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing |
title_fullStr | Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing |
title_full_unstemmed | Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing |
title_short | Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing |
title_sort | rapid high-resolution mosaic acquisition for photoacoustic remote sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071083/ https://www.ncbi.nlm.nih.gov/pubmed/32075006 http://dx.doi.org/10.3390/s20041027 |
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