.png){kind=icon}
返回
Deep Learning-Based Holographic Polarization Microscopy
.png){kind=icon}
OA
AI
DOI：10.1021/acsphotonics.0c01051.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Polarized light microscopy provides high contrast to birefringent specimen and is widely used as a diagnostic tool in pathology. However, polarization microscopy systems typically operate by analyzing images collected from two or more light paths in different states of polarization, which lead to relatively complex optical designs, high system costs, or experienced technicians being required. Here, we present a deep learning-based holographic polarization microscope that is capable of obtaining quantitative birefringence retardance and orientation information of specimen from a phase-recovered hologram, while only requiring the addition of one polarizer/analyzer pair to an inline lensfree holographic imaging system. Using a deep neural network, the reconstructed holographic images from a single state of polarization can be transformed into images equivalent to those captured using a single-shot computational polarized light microscope (SCPLM). Our analysis shows that a trained deep neural network can extract the birefringence information using both the sample specific morphological features as well as the holographic amplitude and phase distribution. To demonstrate the efficacy of this method, we tested it by imaging various birefringent samples including, for example, monosodium urate and triamcinolone acetonide crystals. Our method achieves similar results to SCPLM both qualitatively and quantitatively, and due to its simpler optical design and significantly larger field-of-view this method has the potential to expand the access to polarization microscopy and its use for medical diagnosis in resource limited settings.
Keyword:
polarization microscopy
holographic microscopy
deep learning
convolutional neural networks
on-chip microscopy
lensless microscopy
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.7
论文数:
5.6K
被引数:
2.5W
机构
引用论文
Wide-field imaging of birefringent synovial fluid crystals using lens-free polarized microscopy for gout diagnosis.png)
SCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏
Recent advances in optical metasurfaces for polarization detection and engineered polarization profiles用于偏振检测和工程偏振轮廓的光学超表面的最新进展NANOPHOTONICS
NANOPHOTONICSIF6.6
PREAI
分享收藏Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy基于深度学习的光学显微镜图像重建与增强PROCEEDINGS OF THE IEEEOAAI
PROCEEDINGS OF THE IEEEIF25.9
OAAI分享收藏分享收藏Dynamic homogenization in periodic fibre reinforced media. Quasi-static limit for SH wavesWave Motion
Wave MotionIF0
PREAI
分享收藏
查看更多内容