Capturing cell morphology dynamics with high temporal resolution using single-shot quantitative phase gradient...

Label-free quantitative phase imaging can potentially measure cellular dynamics with minimal perturbation, motivating efforts to develop faster and more sensitive instrumentation. We characterize fast, single-shot quantitative phase gradient microscopy (ss-QPGM) that simultaneously acquires multiple polarization components required to reconstruct phase images. We integrate a computationally efficient least squares algorithm to provide real-time, video-rate imaging (up to $75\text{\hspace{0.17em}\hspace{0.17em}frames}/s$ ). The developed instrument was used to observe changes in cellular morphology and correlate these to molecular measures commonly obtained by staining.

We aim to characterize a fast approach to ss-QPGM and record morphological changes in single-cell phase images. We also correlate these with biochemical changes indicating cell death using concurrently acquired fluorescence images.

Here, we examine nutrient deprivation and anticancer drug-induced cell death in two different breast cell lines, viz., M2 and MCF7. Our approach involves in-line measurements of ss-QPGM and fluorescence imaging of the cells biochemically labeled for viability.

We validate the accuracy of the phase measurement using a USAF1951 pattern phase target. The ss-QPGM system resolves $912.3\mathrm{lp}/\mathrm{mm}$ , and our analysis scheme accurately retrieves the phase with a high correlation coefficient ( $\sim 0.99$ ), as measured by calibrated sample thicknesses. Analyzing the contrast in phase, we estimate the spatial resolution achievable to be $0.55\mu m$ for this microscope. ss-QPGM time-lapse live-cell imaging reveals multiple intracellular and morphological changes during biochemically induced cell death. Inferences from co-registered images of quantitative phase and fluorescence suggest the possibility of necrosis, which agrees with previous findings.

Label-free ss-QPGM with high-temporal resolution and high spatial fidelity is demonstrated. Its application for monitoring dynamic changes in live cells offers promising prospects.