AI Medical Compendium Journal:
Journal of cell science

Showing 1 to 5 of 5 articles

filoVision - using deep learning and tip markers to automate filopodia analysis.

Journal of cell science
Filopodia are slender, actin-filled membrane projections used by various cell types for environment exploration. Analyzing filopodia often involves visualizing them using actin, filopodia tip or membrane markers. Due to the diversity of cell types th...

Harnessing artificial intelligence to reduce phototoxicity in live imaging.

Journal of cell science
Fluorescence microscopy is essential for studying living cells, tissues and organisms. However, the fluorescent light that switches on fluorescent molecules also harms the samples, jeopardizing the validity of results - particularly in techniques suc...

Deep learning -- promises for 3D nuclear imaging: a guide for biologists.

Journal of cell science
For the past century, the nucleus has been the focus of extensive investigations in cell biology. However, many questions remain about how its shape and size are regulated during development, in different tissues, or during disease and aging. To trac...

Label2label: training a neural network to selectively restore cellular structures in fluorescence microscopy.

Journal of cell science
Immunofluorescence microscopy is routinely used to visualise the spatial distribution of proteins that dictates their cellular function. However, unspecific antibody binding often results in high cytosolic background signals, decreasing the image con...

CTRL - a label-free artificial intelligence method for dynamic measurement of single-cell volume.

Journal of cell science
Measuring the physical size of a cell is valuable in understanding cell growth control. Current single-cell volume measurement methods for mammalian cells are labor intensive, inflexible and can cause cell damage. We introduce CTRL: Cell Topography R...