Organia segmentation on different biology samples by coloring with universal lipids and in -depth learning. Credit: Nature communications (2025). DOI: 10.1038 / S41467-025-57877-5
A breakthrough in imaging technology promises to transform our understanding of the internal functioning of living cells and providing information into a wide range of diseases.
The study, recently published in the journal Nature communicationsreveals an innovative approach that combines super-resolution imaging with artificial intelligence And in -depth learning to reveal Subcellular structures and dynamic. It was led by researchers from the University of Beijing, the Ningbo Eastern Institute of Technology and the Sydney University of Technology.
“It’s like taking a plane over a city at night and looking at all the interactions live,” said UTS professor, Professor Dayong Jin. “This point technology will open new doors in the quest to understand the complex world of our cells. “”
Many diseases and health problems result from cells. By visualizing cellular processes, scientists will be able to better understand the deep causes of diseases such as cancer, neurodegenerative disorders and metabolic conditions, leading to improved treatments.
The new technique overcomes some of the main problems with the current imaging tools used to view structures in living cells.
“Current tools such as fluorescence microscopy have resolution limitations that make it difficult to see tiny structures in cells or follow cellular process“Said Professor Jin, director of the UTS Institute for Biomedical Materials & Devices.
“Traditional methods can also cause phototoxicity and photoblanching – a damage to a cell due to exposure to light – and they have trouble showing several structures in a cell due to restrictions in the number of colors that can be used.”
The new method can predict 15 different subcellular structures with a high degree of precision using a single laser and two detection channels.
The breakthrough not only overcomes the constraints of using several colors using a single color label, but it also considerably accelerates the imagery process.
THE High resolution images Precisely capture the differences between organelles (cellular compartments), acting essentially as an “optical fingerprint”. The technology is also very adaptable and can be applied to various microscopes, types of cells and even complex living tissues.
Rapid imaging of the anatomy of living cells of 15 intracellular structures by universal lipid coloring and depth learning segmentation using a confocal microscope to rotation with extended resolution. Credit: Nature communications (2025). DOI: 10.1038 / S41467-025-57877-5
This adaptability allows scientists to explore and understand the 3D structure of living cells at different stages of cell division and observe rapid interactions between intracellular compartments.
Professor Jin said that the team is currently working with a number of medical research institutes, including virologists exploring viral-cell interactions and cell defense mechanisms, and scientists imagining cardiomyocytes to better understand heart disease. They hope that technology will lead to new perspectives and progress in medical research.
More information:
Karl Zhanghao et al, rapid segmentation and multiplexing imaging of organelles in living cells, Nature communications (2025). DOI: 10.1038 / S41467-025-57877-5
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University of technology, Sydney
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