High-speed label-free photoacoustic histopathology

Jin Woo Baik; Jin Young Kim; Hyojin Kim; Myeongjoo Son; Kyunghee Byun; Hae Young Choi; Seon Young Ryu; Chulhong Kim

doi:10.1117/12.2540996

20 February 2020 High-speed label-free photoacoustic histopathology

Jin Woo Baik, Jin Young Kim, Hyojin Kim, Myeongjoo Son, Kyunghee Byun, Hae Young Choi, Seon Young Ryu, Chulhong Kim

Proceedings Volume 11250, High-Speed Biomedical Imaging and Spectroscopy V; 112500P (2020) https://doi.org/10.1117/12.2540996
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

In tumor resection surgery, the entire tumor must be removed to prevent local recurrence of cancer. To achieve effective and successful tumor resection surgery, an intraoperative examination is performed for quick decision-making during the surgical process. Examination of frozen sections is a common method, but it has limitations that it requires time-consuming tissue processing procedures which leads to interpretation errors. Photoacoustic microscopy (PAM) with ultraviolet (UV) laser is a promising intraoperative surgical margin assessment method that provides depth-resolved and label-free imaging of cell nuclei without sectioning and staining. Despite these advantages, conventional PAM still has limited imaging speed that does not allow real-time imaging, because it achieves the volumetric images by raster scanning using 2-axis step motors. To overcome the limitation, we developed a high-speed reflection-mode OR-PAM based on a UV scanner. Using the scanner module, it took 180 seconds to acquire one volumetric data over 1 × 1 mm². In an in-vitro test, the measured lateral and axial resolution were 1.2 μm and 65.1 μm, respectively. We performed ex-vivo experiments on paraffin sections of tissues after deparaffinization that had been excised from a kidney, liver, colon-cancer and a liver-cancer patient. We could find structures in tumorous tissues distinguishable from normal tissues in 4 × 8 mm² which is clinically meaningful FOV. We could also identify single nucleus in UV-PAM images, and match it with the corresponding nucleus in microscopic images.

Citation Download Citation

Jin Woo Baik, Jin Young Kim, Hyojin Kim, Myeongjoo Son, Kyunghee Byun, Hae Young Choi, Seon Young Ryu, and Chulhong Kim "High-speed label-free photoacoustic histopathology", Proc. SPIE 11250, High-Speed Biomedical Imaging and Spectroscopy V, 112500P (20 February 2020); https://doi.org/10.1117/12.2540996

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KEYWORDS

Tissues

Ultraviolet radiation

Scanners

Kidney

Photoacoustic spectroscopy

Tumors

Cancer

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