scholarly journals Deep-learning super-resolution light-sheet add-on microscopy (Deep-SLAM) for easy isotropic volumetric imaging of large biological specimens

2020 ◽  
Vol 11 (12) ◽  
pp. 7273
Author(s):  
Fang Zhao ◽  
Lanxin Zhu ◽  
Chunyu Fang ◽  
Tingting Yu ◽  
Dan Zhu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Super Resolution ◽  
Light Sheet ◽  
Volumetric Imaging

Deep-learning on-chip light-sheet microscopy enabling video-rate volumetric imaging of dynamic biological specimens

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Xiaopeng Chen ◽  
Junyu Ping ◽  
Yixuan Sun ◽  
Chengqiang Yi ◽  
Sijian Liu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Light Scattering ◽  
Light Sheet ◽  
High Contrast ◽  
Spatiotemporal Resolution ◽  
Volumetric Imaging ◽  
Light Sheet Microscopy ◽  
High Spatiotemporal Resolution ◽  
On Chip

Volumetric imaging of dynamic signals in a large, moving, and light-scattering specimen is extremely challenging, owing to the requirement on high spatiotemporal resolution and difficulty in obtaining high-contrast signals. Here...

scholarly journals 3D Interferometric Lattice Light-Sheet Imaging

2020 ◽  
Author(s):  
Bin Cao ◽  
Guanshi Wang ◽  
Jieru Li ◽  
Alexandros Pertsinidis
Keyword(s):  
Single Molecule ◽  
Super Resolution ◽  
Light Sheet ◽  
Detection Sensitivity ◽  
Live Cells ◽  
Background Suppression ◽  
Axial Resolution ◽  
Volumetric Imaging ◽  
Spatio Temporal ◽  
And Function

Understanding cellular structure and function requires live-cell imaging with high spatio-temporal resolution and high detection sensitivity. Direct visualization of molecular processes using single-molecule/super-resolution techniques has thus been transformative. However, extracting the highest-resolution 4D information possible from weak and dynamic fluorescence signals in live cells remains challenging. For example, some of the highest spatial resolution methods, e.g. interferometric (4Pi) approaches1-6 can be slow, require high peak excitation intensities that accelerate photobleaching or suffer from increased out-of-focus background. Selective-plane illumination (SPIM)7-12 reduces background, but most implementations typically feature modest spatial, especially axial, resolution. Here we develop 3D interferometric lattice light-sheet (3D-iLLS) imaging, a technique that overcomes many of these limitations. 3D-iLLS provides, by virtue of SPIM, low light levels and photobleaching, while providing increased background suppression and significantly improved volumetric imaging/sectioning capabilities through 4Pi interferometry. We demonstrate 3D-iLLS with axial resolution and single-particle localization precision down to <100nm (FWHM) and <10nm (1σ) respectively. 3D-iLLS paves the way for a fuller elucidation of sub-cellular phenomena by enhanced 4D resolution and SNR live imaging.

scholarly journals Widefield light sheet microscopy using an Airy beam combined with deep-learning super-resolution

OSA Continuum ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1068
Author(s):  
Stella Corsetti ◽  
Philip Wijesinghe ◽  
Persephone B. Poulton ◽  
Shuzo Sakata ◽  
Khushi Vyas ◽  
...  
Keyword(s):  
Deep Learning ◽  
Super Resolution ◽  
Light Sheet ◽  
Light Sheet Microscopy ◽  
Airy Beam

scholarly journals Combining sample expansion and light sheet microscopy for the volumetric imaging of virus-infected cells with optical super-resolution

2020 ◽  
Author(s):  
Luca Mascheroni ◽  
Katharina M. Scherer ◽  
James D. Manton ◽  
Edward Ward ◽  
Oliver Dibben ◽  
...  
Keyword(s):  
Super Resolution ◽  
Light Sheet ◽  
Image Resolution ◽  
Preparation Technique ◽  
Volumetric Imaging ◽  
Light Sheet Microscopy ◽  
Sophisticated Equipment ◽  
Host Cell Interactions ◽  
Infected Cells ◽  
Cellular Organelles

AbstractExpansion microscopy is a sample preparation technique that enables the optical imaging of biological specimens at super-resolution owing to their physical magnification, which is achieved through water-absorbing polymers. The technique uses readily available chemicals and does not require sophisticated equipment, thus offering super-resolution to laboratories that are not microscopy-specialised. Here we present a protocol combining sample expansion with light sheet microscopy to generate high-contrast, high-resolution 3D reconstructions of whole virus-infected cells. The results are superior to those achievable with comparable imaging modalities and reveal details of the infection cycle that are not discernible before expansion. An image resolution of approximately 95 nm could be achieved in samples labelled in 3 colours. We clearly resolve the concentration of viral nucleoprotein on the surface of vesicular structures within the cell and their positioning relative to cellular organelles. We provide detailed guidance and a video protocol for the optimal application of the method and demonstrate its potential to study virus-host cell interactions.

scholarly journals Widefield light sheet microscopy using an Airy beam combined with deep-learning super-resolution

2020 ◽  
Author(s):  
Stella Corsetti ◽  
Philip Wijesinghe ◽  
Persephone B. Poulton ◽  
Shuzo Sakata ◽  
Khushi Vyas ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Resolution ◽  
Dynamic Range ◽  
Tissue Sample ◽  
Super Resolution ◽  
Light Sheet ◽  
Wide Field ◽  
Light Sheet Microscopy ◽  
Airy Beam ◽  
Model Of Alzheimer’S Disease

AbstractImaging across length scales and in depth has been an important pursuit of widefield optical imaging. This promises to reveal fine cellular detail within a widefield snapshot of a tissue sample. Current advances often sacrifice resolution through selective sub-sampling to provide a wide field of view in a reasonable time scale. We demonstrate a new avenue for recovering high-resolution images from sub-sampled data in light-sheet microscopy using deep-learning super-resolution. We combine this with the use of a widefield Airy beam to achieve high-resolution imaging over extended fields of view and depths. We characterise our method on fluorescent beads as test targets. We then demonstrate improvements in imaging amyloid plaques in a cleared brain from a mouse model of Alzheimer’s disease, and in excised healthy and cancerous colon and breast tissues. This development can be widely applied in all forms of light sheet microscopy to provide a two-fold increase in the dynamic range of the imaged length scale. It has the potential to provide further insight into neuroscience, developmental biology and histopathology.

scholarly journals Deep-learning on-chip DSLM enabling video-rate volumetric imaging of neural activities in moving biological specimens

2021 ◽  
Author(s):  
Xiaopeng Chen ◽  
Junyu Ping ◽  
Yixuan Sun ◽  
Chengqiang Yi ◽  
Sijian Liu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Motor Neurons ◽  
Light Sheet ◽  
Instar Larva ◽  
Current Standard ◽  
Spatiotemporal Resolution ◽  
Volumetric Imaging ◽  
Neural Activities ◽  
Digital Scanning ◽  
On Chip

Volumetric imaging of dynamic signals in a large, moving, and light-scattering specimen is extremely challenging, owing to the requirement on high spatiotemporal resolution and difficulty in obtaining high-contrast signals. Here we report that through combing a microfluidic chip-enabled digital scanning light-sheet illumination strategy with deep-learning based image restoration, we can realize isotropic 3D imaging of crawling whole Drosophila larva on an ordinary inverted microscope at single-cell resolution and high volumetric imaging rate up to 20 Hz. Enabled with high performances even unmet by current standard light-sheet fluorescence microscopes, we intoto record the neural activities during the forward and backward crawling of 1st instar larva, and successfully correlate the calcium spiking of motor neurons with the locomotion patterns.

Efficient super‐resolution volumetric imaging by radial fluctuation Bayesian analysis light‐sheet microscopy

2020 ◽  
Vol 13 (8) ◽  
Author(s):  
Rong Chen ◽  
Yuxuan Zhao ◽  
Mengna Li ◽  
Yarong Wang ◽  
Luoying Zhang ◽  
...  
Keyword(s):  
Bayesian Analysis ◽  
Super Resolution ◽  
Light Sheet ◽  
Volumetric Imaging ◽  
Light Sheet Microscopy

scholarly journals Combining sample expansion and light sheet microscopy for the volumetric imaging of virus-infected cells with super-resolution

2020 ◽  
Vol 11 (9) ◽  
pp. 5032
Author(s):  
Luca Mascheroni ◽  
Katharina M. Scherer ◽  
James D. Manton ◽  
Edward Ward ◽  
Oliver Dibben ◽  
...  
Keyword(s):  
Super Resolution ◽  
Light Sheet ◽  
Volumetric Imaging ◽  
Light Sheet Microscopy ◽  
Infected Cells

scholarly journals Deep‐learning based super‐resolution for 3D isotropic coronary MR angiography in less than a minute

2021 ◽  
Author(s):  
Thomas Küstner ◽  
Camila Munoz ◽  
Alina Psenicny ◽  
Aurelien Bustin ◽  
Niccolo Fuin ◽  
...  
Keyword(s):  
Deep Learning ◽  
Mr Angiography ◽  
Super Resolution ◽  
Coronary Mr Angiography

scholarly journals 29.2: Deep Learning Based Video Super Resolution A Survey

2021 ◽  
Vol 52 (S1) ◽  
pp. 187-187
Author(s):  
Yanpeng Cao ◽  
Feng Yu ◽  
Yongming Tang
Keyword(s):  
Deep Learning ◽  
Super Resolution
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