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Stoller, S.

Publications and source records attributed to Stoller, S..

2 recordsLinked to original sources

Fluorogenic speed-optimized DNA-PAINT probes enable super-resolution imaging of whole cells

Super-resolution microscopy with DNA-PAINT enables molecular-scale, multiplexed, and quantitative imaging, but its throughput is limited by slow binding kinetics and elevated background at high probe concentrations. Recent speed-optimized and fluorogenic probes improve performance but impose strong constraints on sequence design, revealing a fundamental tradeoff between fast binding and efficient quenching. Here, we introduce a modular probe architecture that spatially decouples binding kinetics from fluorophore-quencher interactions by integrating speed-optimized sequence motifs with PEG spacers. Using DNA origami nanostructures, we demonstrate enhanced localization rates, signal-to-background ratios, and imaging efficiency compared to state-of-the-art probes. We validate our approach in cells, demonstrating its capability to image nuclear targets and enabling three-dimensional imaging of the endoplasmic reticulum using standard widefield illumination. Our work establishes a general framework for fast, multiplexed, and low-background super-resolution imaging.

bioengineering↗

A correlative quantitative phase contrast and fluorescence super-resolution microscope for imaging molecules in their cellular context

Fluorescence microscopy has been widely used to reveal the spatial distribution of specifically labeled molecules, but it is blind to cellular context. Quantitative phase contrast microscopy (QPC) provides such complementary information. Here we have developed a platform that combines the QPC technique of correlative orientation-independent differential interference contrast (OI-DIC) microscopy with single-molecule super-resolution fluorescence microscopy. We demonstrate a detection sensitivity of 0.05 nm optical path difference, sufficient to detect single microtubules, and show its capability of 3D super-resolution fluorescence imaging in the cellular context. Additionally, we report deep-learning enabled digital staining, identifying nuclei, mitochondria and lipid droplets from OI-DIC data and demonstrate the potential of this approach for long-term live-cell imaging of organelles of interest without the need for fluorescence. OI-DIC can be easily integrated into most fluorescence microscopes and is readily adoptable by microscopy labs. ONE-SENTENCE TEASERA highly sensitive technique to visualize sub-cellular structures, dynamics, and molecules in their cellular context.

cell biology↗