Deep learning in mesoscale brain microscopy image analysis: A review
R Chen, M Liu, W Chen, Y Wang, E Meijering - Computers in Biology and …, 2023 - Elsevier
Mesoscale microscopy images of the brain contain a wealth of information which can help
us understand the working mechanisms of the brain. However, it is a challenging task to …
us understand the working mechanisms of the brain. However, it is a challenging task to …
Annular computational imaging: Capture clear panoramic images through simple lens
Panoramic Annular Lens (PAL) composed of few lenses has great potential in panoramic
surrounding sensing tasks for mobile and wearable devices because of its tiny size and …
surrounding sensing tasks for mobile and wearable devices because of its tiny size and …
[PDF][PDF] 生物组织大深度定量光学成像
文志博， 刘开元， 蒋慎益， 何木斌， 韩涛， 斯科… - Acta Optica …, 2022 - researching.cn
摘要近年来, 面向生物组织大深度光学成像的方法不断发展, 其中包括光学相干层析,
多光子成像和自适应光学等. 介绍了浙江大学光电科学与工程学院近年来在生物组织大深度定量 …
多光子成像和自适应光学等. 介绍了浙江大学光电科学与工程学院近年来在生物组织大深度定量 …
Correction of uneven illumination in color microscopic image based on fully convolutional network
J Wang, X Wang, P Zhang, S Xie, S Fu, Y Li, H Han - Optics express, 2021 - opg.optica.org
The correction of uneven illumination in microscopic image is a basic task in medical
imaging. Most of the existing methods are designed for monochrome images. An effective …
imaging. Most of the existing methods are designed for monochrome images. An effective …
[HTML][HTML] 基于深度学习的光场显微像差校正
王长淼， 李晖， 张水平， 吴云韬 - Acta Optica Sinica, 2024 - opticsjournal.net
摘要由于光场显微镜中透镜的固有缺陷以及样品折射率分布不均匀会引起光学像差,
这严重影响光场显微成像的质量. 引入光场解耦模块, 解析获得光场的相位和强度信息; …
这严重影响光场显微成像的质量. 引入光场解耦模块, 解析获得光场的相位和强度信息; …
Sequence2Self: Self-supervised image sequence denoising of pixel-level spray breakup morphology
JH Oh, E Wood, E Mayhew, A Kastengren… - … Applications of Artificial …, 2023 - Elsevier
Optical imaging of fast and transient phenomena such as the turbulent breakup of liquid
sprays exhibit low signal-to-noise ratios due to the limited illumination intensity relative to the …
sprays exhibit low signal-to-noise ratios due to the limited illumination intensity relative to the …
Ultrafast 3D histological imaging based on a minutes-time scale tissue clearing and multidirectional selective plane illumination microscopy
Conventional histopathological examinations are time-consuming and labor-intensive, and
are insufficient to depict 3D pathological features intuitively. Here we report an ultrafast 3D …
are insufficient to depict 3D pathological features intuitively. Here we report an ultrafast 3D …
Representing domain-mixing optical degradation for real-world Computational Aberration Correction via vector quantization
Relying on paired synthetic data, existing learning-based Computational Aberration
Correction (CAC) methods are confronted with the intricate and multifaceted synthetic-to-real …
Correction (CAC) methods are confronted with the intricate and multifaceted synthetic-to-real …
Real-World Computational Aberration Correction via Quantized Domain-Mixing Representation
Relying on paired synthetic data, existing learning-based Computational Aberration
Correction (CAC) methods are confronted with the intricate and multifaceted synthetic-to-real …
Correction (CAC) methods are confronted with the intricate and multifaceted synthetic-to-real …
A Flexible Framework for Universal Computational Aberration Correction via Automatic Lens Library Generation and Domain Adaptation
Emerging universal Computational Aberration Correction (CAC) paradigms provide an
inspiring solution to light-weight and high-quality imaging without repeated data preparation …
inspiring solution to light-weight and high-quality imaging without repeated data preparation …