On the use of deep learning for computational imaging
Since their inception in the 1930–1960s, the research disciplines of computational imaging
and machine learning have followed parallel tracks and, during the last two decades …
and machine learning have followed parallel tracks and, during the last two decades …
Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction
C Belthangady, LA Royer - Nature methods, 2019 - nature.com
Deep learning is becoming an increasingly important tool for image reconstruction in
fluorescence microscopy. We review state-of-the-art applications such as image restoration …
fluorescence microscopy. We review state-of-the-art applications such as image restoration …
Sparse deconvolution improves the resolution of live-cell super-resolution fluorescence microscopy
A main determinant of the spatial resolution of live-cell super-resolution (SR) microscopes is
the maximum photon flux that can be collected. To further increase the effective resolution …
the maximum photon flux that can be collected. To further increase the effective resolution …
ImageJ2: ImageJ for the next generation of scientific image data
Background ImageJ is an image analysis program extensively used in the biological
sciences and beyond. Due to its ease of use, recordable macro language, and extensible …
sciences and beyond. Due to its ease of use, recordable macro language, and extensible …
[HTML][HTML] DeconvolutionLab2: An open-source software for deconvolution microscopy
Images in fluorescence microscopy are inherently blurred due to the limit of diffraction of
light. The purpose of deconvolution microscopy is to compensate numerically for this …
light. The purpose of deconvolution microscopy is to compensate numerically for this …
Biomolecular condensates create phospholipid-enriched microenvironments
JG Dumelie, Q Chen, D Miller, N Attarwala… - Nature Chemical …, 2024 - nature.com
Proteins and RNA can phase separate from the aqueous cellular environment to form
subcellular compartments called condensates. This process results in a protein–RNA …
subcellular compartments called condensates. This process results in a protein–RNA …
Immotile cilia mechanically sense the direction of fluid flow for left-right determination
Immotile cilia at the ventral node of mouse embryos are required for sensing leftward fluid
flow that breaks left-right symmetry of the body. However, the flow-sensing mechanism has …
flow that breaks left-right symmetry of the body. However, the flow-sensing mechanism has …
Incorporating the image formation process into deep learning improves network performance
Abstract We present Richardson–Lucy network (RLN), a fast and lightweight deep learning
method for three-dimensional fluorescence microscopy deconvolution. RLN combines the …
method for three-dimensional fluorescence microscopy deconvolution. RLN combines the …
A pipeline for multidimensional confocal analysis of mitochondrial morphology, function, and dynamics in pancreatic β-cells
A Chaudhry, R Shi, DS Luciani - American Journal of …, 2020 - journals.physiology.org
Live-cell imaging of mitochondrial function and dynamics can provide vital insights into both
physiology and pathophysiology, including of metabolic diseases like type 2 diabetes …
physiology and pathophysiology, including of metabolic diseases like type 2 diabetes …
[图书][B] The image processing handbook
JC Russ - 2006 - taylorfrancis.com
Now in its fifth edition, John C. Russ's monumental image processing reference is an even
more complete, modern, and hands-on tool than ever before. The Image Processing …
more complete, modern, and hands-on tool than ever before. The Image Processing …