DL-CSPF: deep-learning-based cell segmentation with a physical framework for digital holographic microscopy
Digital holographic microscopy (DHM) offers label-free, full-field imaging of live-cell samples
by capturing optical path differences to produce quantitative phase images. Accurate cell …
by capturing optical path differences to produce quantitative phase images. Accurate cell …
[HTML][HTML] Illumination system contributing zooming function to lensless digital holographic microscope by using lightguide incorporated with volume holographic optical …
Illumination systems play a crucial role in determining the image quality of lens-less images.
In this paper, we propose an illumination system that uses a light guide with a volume …
In this paper, we propose an illumination system that uses a light guide with a volume …
Deep learning-assisted high-accuracy cell segmentation method for live-cell analysis in digital holographic microscopy
Quantitative phase imaging (QPI) is a valuable tool for investigating weakly absorbing
specimens, such as cells and tissues. Digital holographic microscopy (DHM), as a classical …
specimens, such as cells and tissues. Digital holographic microscopy (DHM), as a classical …
Machine-learning-based classification of co-cultured cells from the phase images in digital holographic microscopy
In the tumor microenvironment, cell interactions play a crucial role in influencing the
morphology and metastasis characteristics of non-cancerous and cancerous cells. Although …
morphology and metastasis characteristics of non-cancerous and cancerous cells. Although …