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Researchers have developed a rationalized deep learning super-resolution microscopic imaging method
Time of Update: 2022-10-25
In recent years, computational super-resolution methods represented by deep learning can improve the resolution or signal-to-noise ratio of microscopic images without losing other imaging performance,
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Li Dong's research group and collaborators developed a rationalized deep learning super-resolution microscopic imaging method
Time of Update: 2022-10-13
In recent years, computational superresolution methods represented by deep learning have been able to improve the resolution or signal-to-noise ratio of microscopic images without losing other imagin
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Scientists develop new materials that can greatly improve the resolution of optical microscopes
Time of Update: 2021-06-11
Electrical engineers from the University of California, San Diego have developed a new technology that can greatly improve the resolution of ordinary light mirrors, which can be directly used to observe finer structures and details in living cells .
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Cell: An automated electron microscope platform has been developed to reconstruct the neural circuit map at high resolution
Time of Update: 2021-01-27
the problem with electron microscopes is that while it provides such a high image resolution, it has been difficult to study the entire neural circuit," Lee said.
to improve this technology, we developed an automated system called GridTape that is imaging at high resolution, but on a scale that covers neural circuits.
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2.2 g high-speed high-resolution miniaturized double photon fluorescence microscope is present.
Time of Update: 2020-09-01
Miniaturized double photon fluorescence microimaging has changed the way cell and subcellular structures are observed in freely active animals, and can be used to observe multi-scale, multi-level dynamic changes such as synapses, neurons, neural networks, remotely connected brain regions, etc.