Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
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 ...
Biologists are very interested in how proteins, lipids and other compounds are organized and interact in systems. Very few organizational details can be gained by using standard transmission-based ...
Comparing Microscopy Techniques: This image contrasts conventional fluorescent microscopy with STORM processing, highlighting how STORM achieves superior resolution by activating and precisely ...
A Simple Touchscreen Fluorescence Cell Imager Improves Workflow for Routine Applications Whether it’s for gaining a better understanding of how cells work, studying the effects of drugs or toxins on ...
Deblurring by pixel reassignment remaps raw fluorescent microscopy images to sharpen images via pixel reassignment. Credit: Zhao and Mertz, doi 10.1117/1.AP.5.6.066004. Obtaining high-resolution ...
How physically magnifying objects using a key ingredient in diapers has opened an unprecedented view of the microbial world.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results