Cargando…
Reflection-mode virtual histology using photoacoustic remote sensing microscopy
Histological visualizations are critical to clinical disease management and are fundamental to biological understanding. However, current approaches that rely on bright-field microscopy require extensive tissue preparation prior to imaging. These processes are both labor intensive and contribute to...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644651/ https://www.ncbi.nlm.nih.gov/pubmed/33154496 http://dx.doi.org/10.1038/s41598-020-76155-6 |
_version_ | 1783606497481064448 |
---|---|
author | Bell, Kevan Abbasi, Saad Dinakaran, Deepak Taher, Muba Bigras, Gilbert van Landeghem, Frank K. H. Mackey, John R. Haji Reza, Parsin |
author_facet | Bell, Kevan Abbasi, Saad Dinakaran, Deepak Taher, Muba Bigras, Gilbert van Landeghem, Frank K. H. Mackey, John R. Haji Reza, Parsin |
author_sort | Bell, Kevan |
collection | PubMed |
description | Histological visualizations are critical to clinical disease management and are fundamental to biological understanding. However, current approaches that rely on bright-field microscopy require extensive tissue preparation prior to imaging. These processes are both labor intensive and contribute to creating significant delays in clinical feedback for treatment decisions that can extend to 2–3 weeks for standard paraffin-embedded tissue preparation and interpretation, especially if ancillary testing is needed. Here, we present the first comprehensive study on the broad application of a novel label-free reflection-mode imaging modality known as photoacoustic remote sensing (PARS) for visualizing salient subcellular structures from various common histopathological tissue preparations and for use in unprocessed freshly resected tissues. The PARS modality permits non-contact visualizations of intrinsic endogenous optical absorption contrast to be extracted from thick and opaque biological targets with optical resolution. The technique was examined both as a rapid assessment tool that is capable of managing large samples (> 1 cm(2)) in under 10 min, and as a high contrast imaging modality capable of extracting specific biological contrast to simulate conventional histological stains such as hematoxylin and eosin (H&E). The capabilities of the proposed method are demonstrated in a variety of human tissue preparations including formalin-fixed paraffin-embedded tissue blocks and unstained slides sectioned from these blocks, including normal and neoplastic human brain, and breast epithelium involved with breast cancer. Similarly, PARS images of human skin prepared by frozen section clearly demonstrated basal cell carcinoma and normal human skin tissue. Finally, we imaged unprocessed murine kidney and achieved histologically relevant subcellular morphology in fresh tissue. This represents a vital step towards an effective real-time clinical microscope that overcomes the limitations of standard histopathologic tissue preparations and enables real-time pathology assessment. |
format | Online Article Text |
id | pubmed-7644651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76446512020-11-06 Reflection-mode virtual histology using photoacoustic remote sensing microscopy Bell, Kevan Abbasi, Saad Dinakaran, Deepak Taher, Muba Bigras, Gilbert van Landeghem, Frank K. H. Mackey, John R. Haji Reza, Parsin Sci Rep Article Histological visualizations are critical to clinical disease management and are fundamental to biological understanding. However, current approaches that rely on bright-field microscopy require extensive tissue preparation prior to imaging. These processes are both labor intensive and contribute to creating significant delays in clinical feedback for treatment decisions that can extend to 2–3 weeks for standard paraffin-embedded tissue preparation and interpretation, especially if ancillary testing is needed. Here, we present the first comprehensive study on the broad application of a novel label-free reflection-mode imaging modality known as photoacoustic remote sensing (PARS) for visualizing salient subcellular structures from various common histopathological tissue preparations and for use in unprocessed freshly resected tissues. The PARS modality permits non-contact visualizations of intrinsic endogenous optical absorption contrast to be extracted from thick and opaque biological targets with optical resolution. The technique was examined both as a rapid assessment tool that is capable of managing large samples (> 1 cm(2)) in under 10 min, and as a high contrast imaging modality capable of extracting specific biological contrast to simulate conventional histological stains such as hematoxylin and eosin (H&E). The capabilities of the proposed method are demonstrated in a variety of human tissue preparations including formalin-fixed paraffin-embedded tissue blocks and unstained slides sectioned from these blocks, including normal and neoplastic human brain, and breast epithelium involved with breast cancer. Similarly, PARS images of human skin prepared by frozen section clearly demonstrated basal cell carcinoma and normal human skin tissue. Finally, we imaged unprocessed murine kidney and achieved histologically relevant subcellular morphology in fresh tissue. This represents a vital step towards an effective real-time clinical microscope that overcomes the limitations of standard histopathologic tissue preparations and enables real-time pathology assessment. Nature Publishing Group UK 2020-11-05 /pmc/articles/PMC7644651/ /pubmed/33154496 http://dx.doi.org/10.1038/s41598-020-76155-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bell, Kevan Abbasi, Saad Dinakaran, Deepak Taher, Muba Bigras, Gilbert van Landeghem, Frank K. H. Mackey, John R. Haji Reza, Parsin Reflection-mode virtual histology using photoacoustic remote sensing microscopy |
title | Reflection-mode virtual histology using photoacoustic remote sensing microscopy |
title_full | Reflection-mode virtual histology using photoacoustic remote sensing microscopy |
title_fullStr | Reflection-mode virtual histology using photoacoustic remote sensing microscopy |
title_full_unstemmed | Reflection-mode virtual histology using photoacoustic remote sensing microscopy |
title_short | Reflection-mode virtual histology using photoacoustic remote sensing microscopy |
title_sort | reflection-mode virtual histology using photoacoustic remote sensing microscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644651/ https://www.ncbi.nlm.nih.gov/pubmed/33154496 http://dx.doi.org/10.1038/s41598-020-76155-6 |
work_keys_str_mv | AT bellkevan reflectionmodevirtualhistologyusingphotoacousticremotesensingmicroscopy AT abbasisaad reflectionmodevirtualhistologyusingphotoacousticremotesensingmicroscopy AT dinakarandeepak reflectionmodevirtualhistologyusingphotoacousticremotesensingmicroscopy AT tahermuba reflectionmodevirtualhistologyusingphotoacousticremotesensingmicroscopy AT bigrasgilbert reflectionmodevirtualhistologyusingphotoacousticremotesensingmicroscopy AT vanlandeghemfrankkh reflectionmodevirtualhistologyusingphotoacousticremotesensingmicroscopy AT mackeyjohnr reflectionmodevirtualhistologyusingphotoacousticremotesensingmicroscopy AT hajirezaparsin reflectionmodevirtualhistologyusingphotoacousticremotesensingmicroscopy |