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Cellular imaging encompasses the techniques that allow the detection and analysis of cellular organelles and macromolecules. Cellular imaging observations are obtained using light-based or electron-based microscopes and often request further analysis with computer based programming.
Sanguina nivaloides thrives in red snowfields worldwide. It cannot be cultivated. Using environmental samples, 3D electron microscopy combined with functional analyzes revealed unique cell architecture features adapted to life in a snowy environment.
Leveraging a label-free interferometric scattering microscope, scientists tracked numerous cargos within a crowded cellular environment. Intriguingly, cells employ effective strategies echoing human transportation systems to manage such transportation hurdles.
DeepSeMi is a self-supervised denoising framework that can enhance SNR over 12 dB across diverse samples and imaging modalities. DeepSeMi enables extended longitudinal imaging of subcellular dynamics with high spatiotemporal resolution.
We introduce GelMap, a flexible workflow for reporting deformations and anisotropy in expansion microscopy. By intrinsically calibrating the expansion hydrogel using a fluorescent grid that scales with expansion and deforms with anisotropy, GelMap enables the reliable quantification of expansion factors and correction of deformations.
A key step toward biologically interpretable analysis of microscopy image-based assays is rigorous quantitative validation with metrics appropriate for the particular application in use. Here we describe this challenge for both classical and modern deep learning-based image analysis approaches and discuss possible solutions for automating and streamlining the validation process in the next five to ten years.
Calcium sparks are the elementary detectable units of calcium release through ryanodine receptors (RyRs). Hou et al. correlate Ca2+ sparks with RyR cluster configurations and provide insights into the dynamics of Ca2+ release in live cardiomyocytes at baseline and in pathological conditions.
