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
- high resolution
- convolutional neural network
- optical coherence tomography
- low cost
- artificial intelligence
- primary care
- healthcare
- machine learning
- magnetic resonance imaging
- stem cells
- risk assessment
- oxidative stress
- cell cycle arrest
- high throughput
- mass spectrometry
- cell death
- cell therapy
- single molecule
- magnetic resonance
- bone marrow
- climate change
- high fat diet induced
- signaling pathway
- crystal structure
- endoplasmic reticulum stress
- high speed
- human health
- flow cytometry
- wild type