Publications by authors named "Kequn Zhuo"
Article Synopsis
- Quantitative phase contrast microscopy (QPCM) allows for detailed imaging of sub-organelles in live cells without needing fluorescent dyes, but traditionally requires three images shifted in phase.
- This study introduces a new approach that combines QPCM with a convolutional neural network to achieve high-quality imaging using only two phase-shifted images.
- The enhanced QPCM setup features a phase-type spatial light modulator for capturing these images in one go, enabling real-time observation of dynamic processes in living cells with impressive resolution and speed.
Panoramic quantitative phase imaging of adherent live cells in a microfluidic environment.
Biomed Opt Express
October 2023
Understanding how cells respond to external stimuli is crucial. However, there are a lack of inspection systems capable of simultaneously stimulating and imaging cells, especially in their natural states. This study presents a novel microfluidic stimulation and observation system equipped with flat-fielding quantitative phase contrast microscopy (FF-QPCM).
View Article and Find Full Text PDFIt is essential to quantify the physical properties and the dynamics of flowing particles in many fields, especially in microfluidic-related applications. We propose phase image correlation spectroscopy (PICS) as a versatile tool to quantify the concentration, hydro-diameter, and flow velocity of unlabeled particles by correlating the pixels of the phase images taken on flowing particles in a microfluidic device. Compared with conventional image correlation spectroscopy, PICS is minimally invasive, relatively simple, and more efficient, since it utilizes the intrinsic phase of the particles to provide a contrast instead of fluorescent labeling.
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