Implementation of a portable diffraction phase microscope for digital histopathology.
Nurbolat AimakovEunjung MinSungbea BanSangjin LeeJung Kweon BaeJoon S YouWoonggyu JungPublished in: Journal of biophotonics (2024)
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.
Keyphrases
- deep learning
- convolutional neural network
- high resolution
- optical coherence tomography
- low cost
- artificial intelligence
- machine learning
- induced apoptosis
- computed tomography
- high speed
- metabolic syndrome
- single molecule
- adipose tissue
- magnetic resonance
- flow cytometry
- climate change
- risk assessment
- oxidative stress
- photodynamic therapy
- endoplasmic reticulum stress
- fluorescence imaging
- crystal structure
- cataract surgery
- contrast enhanced