Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
Korea Photonics Technology Institute, Gwangju, Republic of Korea.
J Biophotonics. 2024 Mar;17(3):e202300496. doi: 10.1002/jbio.202300496. Epub 2024 Feb 15.
Quantitative phase imaging (QPI) has a significant advantage in histopathology as it helps in differentiating biological tissue structures and cells without the need for staining. To make this capability more accessible, it is crucial to develop compact and portable systems. In this study, we introduce a portable diffraction phase microscopy (DPM) system that allows the acquisition of phase map images from various organs in mice using a low-NA objective lens. Our findings indicate that the cell and tissue structures observed in portable DPM images are similar to those seen in conventional histology microscope images. We confirmed that the developed system's performance is comparable to the benchtop DPM system. Additionally, we investigate the potential utility of digital histopathology by applying deep learning technology to create virtual staining of DPM images.
定量相位成像(QPI)在组织病理学中有显著优势,因为它可以帮助区分生物组织结构和细胞,而无需染色。为了使这种能力更容易获得,开发紧凑和便携式系统至关重要。在这项研究中,我们引入了一种便携式衍射相位显微镜(DPM)系统,该系统允许使用低数值孔径物镜从小鼠的各种器官中获取相位图图像。我们的研究结果表明,在便携式 DPM 图像中观察到的细胞和组织结构与在传统组织学显微镜图像中观察到的结构相似。我们证实,所开发系统的性能可与台式 DPM 系统相媲美。此外,我们通过应用深度学习技术对 DPM 图像进行虚拟染色来研究数字组织病理学的潜在应用。