Literature DB >> 33001904

High-speed label-free ultraviolet photoacoustic microscopy for histology-like imaging of unprocessed biological tissues.

Xiufeng Li, Lei Kang, Yan Zhang, Terence T W Wong.   

Abstract

Ultraviolet photoacoustic microscopy (UV-PAM) has recently been demonstrated as a potential imaging tool for surgical margin analysis (SMA). UV-PAM does not require staining or micrometer-thick slicing, which is inevitable in conventional histological imaging. To promote UV-PAM as a practical intraoperative diagnostic tool, the imaging speed should be improved while preserving the high-resolution imaging capability and simplistic system design. In this Letter, we developed a galvanometer mirror-based UV-PAM (GM-UV-PAM) system for high-speed histology-like imaging. By using a UV laser with a high repetition rate (55 kHz) and a one-dimensional galvanometer mirror, our GM-UV-PAM system can generate subcellular images in less than 15 min for a typical brain biopsy (5mm×5mm), with a lateral resolution of ∼1.0µm. The images of mouse brain slices obtained by our GM-UV-PAM system show that it can provide histological information for SMA.

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Year:  2020        PMID: 33001904     DOI: 10.1364/OL.401643

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  3 in total

1.  Fast hybrid optomechanical scanning photoacoustic remote sensing microscopy for virtual histology.

Authors:  Brendon S Restall; Brendyn D Cikaluk; Matthew T Martell; Nathaniel J M Haven; Rohan Mittal; Sveta Silverman; Lashan Peiris; Jean Deschenes; Benjamin A Adam; Adam Kinnaird; Roger J Zemp
Journal:  Biomed Opt Express       Date:  2021-12-02       Impact factor: 3.732

Review 2.  Functional photoacoustic microscopy of hemodynamics: a review.

Authors:  Chao Liu; Lidai Wang
Journal:  Biomed Eng Lett       Date:  2022-04-10

3.  High-Throughput, Label-Free and Slide-Free Histological Imaging by Computational Microscopy and Unsupervised Learning.

Authors:  Yan Zhang; Lei Kang; Ivy H M Wong; Weixing Dai; Xiufeng Li; Ronald C K Chan; Michael K Y Hsin; Terence T W Wong
Journal:  Adv Sci (Weinh)       Date:  2021-11-07       Impact factor: 16.806

  3 in total

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