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Clear and deep temporal focusing multiphoton microscopy imaging using deep prediction with PhyCell and ConvLSTM
Hao Chung Chi
, Anupama Nair
, Yvonne Yuling Hu
, Feng Chun Hsu
, Chia Wei Hsu
, Chun Yu Lin
,
Shean Jen Chen
*
*
此作品的通信作者
影像與生醫光電研究所
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Keyphrases
Microscopic Imaging
100%
Multiphoton Microscopy
100%
Temporal Attention
100%
Microscopic Image
100%
Temporal-focusing multiphoton Excitation Microscopy
100%
Deep Prediction
100%
Convolutional Long Short-term Memory (ConvLSTM)
100%
Depth Information
66%
Spatial Resolution
33%
3D Imaging
33%
Learning Model
33%
Low Signal-to-noise Ratio
33%
Strong Scattering
33%
Neuroscience
33%
Image Quality
33%
Wide-field
33%
Penetration Depth
33%
Multiphoton Excitation Microscopy
33%
Biotissue
33%
Deep Information
33%
Small Structure
33%
Memory Network
33%
Fluorescent Indicator
33%
Cross-modal
33%
Calyx
33%
3D Information
33%
Point Scanning
33%
Affine Transformation
33%
Acquisition Rate
33%
U-Net
33%
Fast Acquisition
33%
Attention Module
33%
Fusion Mechanism
33%
Shallow Layer
33%
Supervised Attention
33%
VoxelMorph
33%
Drosophila mushroom Body
33%
Cross-stage Feature Fusion
33%
Computer Science
Depth Information
100%
Long Short-Term Memory Network
100%
Noise-to-Signal Ratio
50%
3D Imaging
50%
Spatial Resolution
50%
Image Quality
50%
Affine Transformation
50%
Photon Emission
50%
Gold Standard
50%
U-Net
50%
Feature Fusion Mechanism
50%
Neuroscience
Short-Term Memory
100%
Signal-to-Noise Ratio
50%
Neuroscience
50%
Mushroom Body
50%