Raw DNA-PAINT SMLM frames with isolated emitters taken on TOM20 labelled MNTB neuronal rat tissue with P5 imaging strand at 20 pM concentration. Artificially binned high-density emitter patches used for training the DeepSTORM neural network with the emitter coordinates
Objective. Bioluminescence imaging (BLI) is a valuable tool for non-invasive monitoring of glioblast...
<p>Given an input amino acid sequence, the neural network outputs a posterior distribution over the ...
By releasing this dataset, we aim at providing a new testbed for computer vision techniques using De...
(RawFrames_P5-IS_20pM.tif) Raw DNA-PAINT SMLM frames with isolated emitters taken on TOM20 labelled ...
DNA points accumulation for imaging in nanoscale topography (DNA-PAINT) is a super-resolution techni...
(A) Schematic representation of experimental protocol for obtaining multichannel images of HEK293 ce...
The time taken to generate a super-resolution image and the quality of the final synthetic image dep...
DNA-based point accumulation imaging in nanoscale topography (DNA-PAINT) is a single molecule locali...
The clue of learning to recognize objects using neural network lies in imitation of animal neural ne...
In this paper, we have described about the obtaining of high resolution image of abnormal cells and ...
(A) Schematic of the neural network used for identification of nanobarcodes from pixel-wise fluoresc...
(A) The prediction accuracy matrix of trained deep networks, estimated over all the images in the da...
Abstract Synchrotron-based X-ray tomography offers the potential for rapid large-scale reconstructio...
Name: ZeroCostDL4Mic - DeepSTORM training and example dataset (see our Wiki for details) Data t...
Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitous...
Objective. Bioluminescence imaging (BLI) is a valuable tool for non-invasive monitoring of glioblast...
<p>Given an input amino acid sequence, the neural network outputs a posterior distribution over the ...
By releasing this dataset, we aim at providing a new testbed for computer vision techniques using De...
(RawFrames_P5-IS_20pM.tif) Raw DNA-PAINT SMLM frames with isolated emitters taken on TOM20 labelled ...
DNA points accumulation for imaging in nanoscale topography (DNA-PAINT) is a super-resolution techni...
(A) Schematic representation of experimental protocol for obtaining multichannel images of HEK293 ce...
The time taken to generate a super-resolution image and the quality of the final synthetic image dep...
DNA-based point accumulation imaging in nanoscale topography (DNA-PAINT) is a single molecule locali...
The clue of learning to recognize objects using neural network lies in imitation of animal neural ne...
In this paper, we have described about the obtaining of high resolution image of abnormal cells and ...
(A) Schematic of the neural network used for identification of nanobarcodes from pixel-wise fluoresc...
(A) The prediction accuracy matrix of trained deep networks, estimated over all the images in the da...
Abstract Synchrotron-based X-ray tomography offers the potential for rapid large-scale reconstructio...
Name: ZeroCostDL4Mic - DeepSTORM training and example dataset (see our Wiki for details) Data t...
Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitous...
Objective. Bioluminescence imaging (BLI) is a valuable tool for non-invasive monitoring of glioblast...
<p>Given an input amino acid sequence, the neural network outputs a posterior distribution over the ...
By releasing this dataset, we aim at providing a new testbed for computer vision techniques using De...
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