Ultraviolet Photoacoustic Microscopy for Histopathology

Bingxin Huang; Ivy H.M. Wong; Yan Zhang; Terence T.W. Wong

doi:10.1007/978-3-031-61411-8_19

Ultraviolet Photoacoustic Microscopy for Histopathology

Bingxin Huang, Ivy H.M. Wong, Yan Zhang, Terence T.W. Wong^*

^*Corresponding author for this work

Department of Chemical and Biological Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Book Chapter › peer-review

Abstract

This chapter provides an overview of the use of ultraviolet photoa-coustic microscopy (UV-PAM) in histopathology. After introducing the basics of histopathology, we review the principles of PAM and its application in imaging biological tissues. Then, we discuss the different designs of UV-PAM systems and their respective advantages and limitations in histopathology applications. Finally, we explore the recent advances in deep learning-assisted UV-PAM for virtual staining, which has the potential to revolutionize histopathology by enabling the analysis of tissue samples without the need for traditional staining methods. Overall, this chapter offers a comprehensive overview of the use of UV-PAM in histopathology and highlights its potential to advance the field through novel imaging techniques.

Original language	English
Title of host publication	Biomedical Photoacoustics Technology and Applications
Publisher	Springer Nature
Pages	499-532
Number of pages	34
ISBN (Electronic)	9783031614118
ISBN (Print)	9783031614101
DOIs	https://doi.org/10.1007/978-3-031-61411-8_19
Publication status	Published - 1 Jan 2024

Bibliographical note

Publisher Copyright:
© The Editor(s) (ifapplicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Deep learning
Histological imaging
Multispectral imaging
Photoacoustic microscopy
Virtual staining

Access to Document

10.1007/978-3-031-61411-8_19

Cite this

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title = "Ultraviolet Photoacoustic Microscopy for Histopathology",

abstract = "This chapter provides an overview of the use of ultraviolet photoa-coustic microscopy (UV-PAM) in histopathology. After introducing the basics of histopathology, we review the principles of PAM and its application in imaging biological tissues. Then, we discuss the different designs of UV-PAM systems and their respective advantages and limitations in histopathology applications. Finally, we explore the recent advances in deep learning-assisted UV-PAM for virtual staining, which has the potential to revolutionize histopathology by enabling the analysis of tissue samples without the need for traditional staining methods. Overall, this chapter offers a comprehensive overview of the use of UV-PAM in histopathology and highlights its potential to advance the field through novel imaging techniques.",

keywords = "Deep learning, Histological imaging, Multispectral imaging, Photoacoustic microscopy, Virtual staining",

author = "Bingxin Huang and Wong, \{Ivy H.M.\} and Yan Zhang and Wong, \{Terence T.W.\}",

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TY - CHAP

T1 - Ultraviolet Photoacoustic Microscopy for Histopathology

AU - Huang, Bingxin

AU - Wong, Ivy H.M.

AU - Zhang, Yan

AU - Wong, Terence T.W.

N1 - Publisher Copyright: © The Editor(s) (ifapplicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024/1/1

Y1 - 2024/1/1

N2 - This chapter provides an overview of the use of ultraviolet photoa-coustic microscopy (UV-PAM) in histopathology. After introducing the basics of histopathology, we review the principles of PAM and its application in imaging biological tissues. Then, we discuss the different designs of UV-PAM systems and their respective advantages and limitations in histopathology applications. Finally, we explore the recent advances in deep learning-assisted UV-PAM for virtual staining, which has the potential to revolutionize histopathology by enabling the analysis of tissue samples without the need for traditional staining methods. Overall, this chapter offers a comprehensive overview of the use of UV-PAM in histopathology and highlights its potential to advance the field through novel imaging techniques.

AB - This chapter provides an overview of the use of ultraviolet photoa-coustic microscopy (UV-PAM) in histopathology. After introducing the basics of histopathology, we review the principles of PAM and its application in imaging biological tissues. Then, we discuss the different designs of UV-PAM systems and their respective advantages and limitations in histopathology applications. Finally, we explore the recent advances in deep learning-assisted UV-PAM for virtual staining, which has the potential to revolutionize histopathology by enabling the analysis of tissue samples without the need for traditional staining methods. Overall, this chapter offers a comprehensive overview of the use of UV-PAM in histopathology and highlights its potential to advance the field through novel imaging techniques.

KW - Deep learning

KW - Histological imaging

KW - Multispectral imaging

KW - Photoacoustic microscopy

KW - Virtual staining

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UR - https://www.scopus.com/pages/publications/105003360126

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DO - 10.1007/978-3-031-61411-8_19

M3 - Book Chapter

SN - 9783031614101

SP - 499

EP - 532

BT - Biomedical Photoacoustics Technology and Applications

PB - Springer Nature

ER -

Ultraviolet Photoacoustic Microscopy for Histopathology

Abstract

Bibliographical note

Keywords

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