A new globally regularized phase reconstruction that eliminates artifacts of prior DIC-to-QPI approaches, providing quantitative phase information, and used per-pixel Stokes-based reconstruction to obtain quantitative anisotropic retardance is developed.
Abstract
Quantitative phase imaging (QPI) has become a standard approach for label-free microscopy of transparent specimens, mapping the optical path length. However, the isotropic phase is blind to the molecular order underlying optical anisotropy. Implementations that also add quantitative contrast to birefringence rely on multi-frame illumination or polarization-state scanning, or on dedicated interferometric hardware and thus trade away acquisition speed or the simplicity of a standard microscope. We present Quantitative Phase and Polarimetric Imaging (QPPI), a computational imaging framework that converts a standard differential interference contrast (DIC) microscope with a polarization camera into a single-shot, video-rate, dual-contrast imaging system. We developed a new globally regularized phase reconstruction that eliminates artifacts of prior DIC-to-QPI approaches, providing quantitative phase information, and used per-pixel Stokes-based reconstruction to obtain quantitative anisotropic retardance. We validate the approach across simulations, static reference targets, fixed muscle tissue and living dynamically moving cells. QPPI enables all-optical and label-free studies of contractile dynamics in live cardiomyocytes. It provides both structural and functional readouts at sufficient frame rates to resolve fast cardiomyocyte contractions. Conventional fluorescent labels bleach over time, perturb physiology, and preclude long-term monitoring. Instead, QPPI enables long-term, label-free interrogation of dynamic cellular processes at quantitative contrast and provides structural readouts similar to those provided by established fluorescent labels, such as frame-by-frame sarcomere length. It also offers previously inaccessible measurements, like quantitative analysis of retardance changes during muscle contraction, which provides a direct optical signature of muscle photoelasticity.
Quantitative phase imaging (QPI), as a label-free microscopic imaging technique, provides quantitative optical information of cells and their subcellular structures, holding significant value in biomedical research. However, existing methods still face a notable trade-off between resolution and data efficiency. Differe...
Gui-Feng Lu, Zhuo-Shi Li, Qing-Yang Fu et al.· Global Intelligent Industry...· 0 citations
Quantitative phase microscopy (QPM) provides sensitive, label-free measurements of optical-path-length variations in transparent and weakly scattering specimens, offering valuable insights into biological structures without exogenous labels. However, its lateral resolution remains fundamentally constrained by optical d...
Yuan-Yuan Huang, Hao-Yu Li, Xiang-Yan Ding et al.· Journal of Physics: Photonic...· 0 citations
Diffraction-based quantitative phase microscopy (QPM) conventionally requires stringent numerical aperture (NA) matching between illumination and objective lens (OL). We propose high-spatiotemporal-resolution QPM under unmatched illumination (HSR-QPM-UI) that fully eliminates this constraint. By introducing a 0.5π phas...
Ying Ma, Yun-Fei Ma, Tai-Qiang Dai et al.· Optics Letters· 0 citations
Phase to polarization encoding (P2P) has emerged as a potent tool for quantitative phase imaging (QPI), offering on-axis single-shot QPI with high precision by using a polarization camera, in which four CMOS pixels with different polarizer orientations are combined to form a super-pixel for local polarization analysis,...
Multimodal fluorescence and phase imaging provides complementary information about biological samples. However, existing simultaneous fluorescence-phase techniques primarily operate in transmission mode and are limited to thin specimens, restricting their use in thick tissues and in vivo applications. Although mult...
Label-free interferometric imaging avoids labelling agents and instead exploits intrinsic optical properties of biological samples, making it a general and unbiased alternative to label-based imaging, particularly when suitable exogenous markers are unknown or unavailable. By providing quantitative phase and refractive...
N. Shaked· Unconventional Imaging, Sens...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.