New research from Professor Guillermo Ameer’s team shows how a shape change of a cell’s nucleus can trigger regenerative signals and improve implant performance.

New research offers key insights into how blood stains cotton fabrics, allowing investigators to gather additional ...

The blending of high-resolution imaging with machine learning is able to track cells that have been damaged from injury, aging, or disease, and no longer grow and reproduce normally, researchers say ...

Antibody–siRNA conjugates (ARCs) are a type of promising drug modalities for cancer therapy. However, initial reports of ARCs present the gene knockdown effect only in limited tissues (e.g., muscles) ...

BACKGROUND: Direct reprogramming of fibroblasts to cardiomyocytes is a potentially curative strategy for ischemic heart ...

A combination of high-resolution imaging and machine learning, also known as artificial intelligence (AI), can track cells ...

A combination of high-resolution imaging and machine learning, also known as artificial intelligence (AI), can track cells ...

Automatic cell/nucleus detection is a prerequisite for various quantitative analyses on microscopy image. However, previous deep learning methods require enough annotated microscopy images for better ...

Segmentation of white blood cells in digital haematology microscope images represents one of the major tools in the diagnosis and evaluation of blood disorders. Pathological examinations are being the ...

Conclusion: The present study delineates the single-cell transcriptional architecture and cellular composition of the CSF-contacting nucleus. Bioinformatics analyses revealed the involvement of the ...