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Isotropic reconstruction of 3D fluorescence microscopy images using
  convolutional neural networks

Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks

5 April 2017
Martin Weigert
Loic A. Royer
Florian Jug
E. Myers
ArXivPDFHTML

Papers citing "Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks"

12 / 12 papers shown
Title
DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data
  Degradations and OOD Model Predictions
DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions
N. P. Martins
Y. Kalaidzidis
M. Zerial
Florian Jug
MedIm
31
0
0
16 Aug 2023
DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D
  Microscopic Images
DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images
Mingjie Pan
Yulu Gan
Fangxu Zhou
Jiaming Liu
Aimin Wang
Shanghang Zhang
Dawei Li
MedIm
DiffM
21
7
0
21 Jun 2023
Self-supervised arbitrary scale super-resolution framework for
  anisotropic MRI
Self-supervised arbitrary scale super-resolution framework for anisotropic MRI
Haonan Zhang
Yuhan Zhang
Qing Wu
Jiangjie Wu
Z. Zhen
Feng Shi
Jianmin Yuan
Hongjiang Wei
Chen Liu
Yuyao Zhang
33
9
0
02 May 2023
Generalizable Denoising of Microscopy Images using Generative
  Adversarial Networks and Contrastive Learning
Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning
Félix Fuentes-Hurtado
J. Sibarita
V. Viasnoff
DiffM
MedIm
30
2
0
27 Mar 2023
μSplit: efficient image decomposition for microscopy data
μSplit: efficient image decomposition for microscopy data
Ashesh Ashesh
Alexander Krull
M. D. Sante
F. Pasqualini
Florian Jug
35
4
0
23 Nov 2022
Spatially-Variant CNN-based Point Spread Function Estimation for Blind
  Deconvolution and Depth Estimation in Optical Microscopy
Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy
Adrian Shajkofci
M. Liebling
25
43
0
08 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
44
79
0
17 Sep 2020
Physics-enhanced machine learning for virtual fluorescence microscopy
Physics-enhanced machine learning for virtual fluorescence microscopy
Colin L. Cooke
Fanjie Kong
A. Chaware
Kevin C Zhou
Kanghyun Kim
Rong Xu
D. Ando
Samuel J. Yang
P. C. Konda
R. Horstmeyer
AI4CE
30
17
0
09 Apr 2020
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Alexander Krull
Tomáš Vičar
Florian Jug
DiffM
25
165
0
03 Jun 2019
Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit
  PSF Layer
Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer
Sungjun Lim
Sang-Eun Lee
Sunghoe Chang
J. C. Ye
17
9
0
05 Apr 2019
Three-dimensional virtual refocusing of fluorescence microscopy images
  using deep learning
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
Yichen Wu
Y. Rivenson
Hongda Wang
Yilin Luo
Eyal Ben-David
L. Bentolila
C. Pritz
Aydogan Ozcan
MedIm
24
186
0
31 Jan 2019
Noise2Void - Learning Denoising from Single Noisy Images
Noise2Void - Learning Denoising from Single Noisy Images
Alexander Krull
T. Buchholz
Florian Jug
31
1,088
0
27 Nov 2018
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