Volumetric fluorescence microscopy is an indispensable tool for comprehensive studies of cells and organs. Since the specimens are inherently three-dimensional (3D), the optimal imaging system should ...

In PhotoniX, researchers report a self-supervised deep learning method that denoises dynamic fluorescence images in vivo without requiring clean training data. The figure shows in vivo venule images ...

(A–C) Representative images reconstructed by conventional method (left) and new method (right) of microtubules, nuclear pore complexes and F-actin samples. The regions enclosed by the white boxes are ...

A new machine learning-based platform called MALVINA measures bacterial invasion, intracellular accumulation and DNA damage at single-cell resolution, exposing infection dynamics that conventional ...

Muscle stem cells (MuSCs) reside in a niche, which generates various signals essential for regeneration of skeletal muscle. In this manuscript, Togninalli, Ho, and Madl developed a dual fluorescence ...

Understanding how living cells grow, respond to stimuli, and change over time is central to modern cell biology and drug discovery. Many traditional imaging approaches rely on fluorescent labels, ...

Researchers have developed a cost-effective conversion that turns a standard epifluorescence microscope into a focus-stabilized TIRF platform achieving sub-10-nanometer DNA-PAINT and (d)STORM imaging.

As per SNS Insider, the Global Automated Microscopy Market is projected to reach USD 16.63 billion by 2035, growing at a 7.35% CAGR, while the U.S. market is projected to reach USD 5.19 billion, ...

Cornell researchers have designed a new, faster form of two-photon fluorescence imaging for observing cell metabolism in real ...

In this interview, Claudia Florindo talks about what matters when comparing benchtop fluorescence microscopes. What prompted Oxford Instruments to produce this buyer's guide, and what gaps or ...