A Coma Pattern-Based Autofocusing Method Resolves Bacterial Cold Shock Response at Single-Cell Level
Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...
Artificial intelligence is rapidly transforming health care. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and stroke.
This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...
In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
You will be redirected to our submission process. Artificial Intelligence (AI) has become a foundational element of next-generation pattern recognition and image analysis, driving transformative ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results