Article
Biochemical Research Methods
To Ni Phan Van, Trung Nghia Tran, Hiroshi Inujima, Koichi Shimizu
Summary: This study introduced a new technique using near-infrared light and deep learning principles to obtain clearer images of structures in turbid media, offering a new tool for imaging animal bodies and biometric authentication of human bodies.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Optics
Faliu Yi, Ongee Jeong, Inkyu Moon, Bahram Javidi
Summary: In this study, a deep learning integral imaging system was proposed to reconstruct a 3D image without out of focus areas, enabling target detection and segmentation simultaneously. The Mask-RCNN deep learning algorithm was trained and applied in detecting and segmenting multiple targets in 2D elemental images. The proposed method performed well in the presence of partial occlusions, as demonstrated by experimental results.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Materials Science, Multidisciplinary
Hiroko Yokota, Takeshi Hayashida, Dan Kitahara, Tsuyoshi Kimura
Summary: This study proposes the use of CID-SHG technique to investigate ferroaxial order and its domain states and successfully visualizes three-dimensional images of ferroaxial domain structures in NiTiO3. The results indicate that CID-SHG is a sensitive probe and opens possibilities for the use of ferroaxial materials in nonlinear optical manipulations.
NPJ QUANTUM MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
Aofei Mao, Peixun Fan, Loic Constantin, Nan Li, Xi Huang, Bai Cui, Jean-Francois Silvain, Xinwei Wang, Yong Feng Lu
Summary: This study presents an approach to transform 2D patterns into 3D geometries using distributed stress inside a polymer. By introducing controlled stress fields, various shape transformations can be achieved during 2D printing. This method offers a unique way to fabricate complex 3D nanostructures.
APPLIED MATERIALS TODAY
(2022)
Article
Chemistry, Physical
Jeong-Won Lee, Kihwan Kim, Giwon Ryoo, Jisu Kim, Jeyaraj Vinoth Kumar, Woonbong Hwang
Summary: A new SHPo/SHPi patterning method for three-dimensional objects using aluminum was proposed in this study, achieving successful realization of patterned surfaces with contact angles of 10 degrees for SHPi surface and 160 degrees for SHPo surface. This method enables patterning even in areas that laser light cannot reach, expanding the application scope of SHPo/SHPi surface patterning technique.
APPLIED SURFACE SCIENCE
(2022)
Article
Chemistry, Analytical
Jiheon Lee, Myungjin Cho
Summary: This paper proposes an enhancement of three-dimensional image visualization techniques by using different pickup plane reconstructions to improve both the lateral and longitudinal resolutions of 3D objects.
Article
Optics
Munkh-Uchral Erdenebat, Yan-Ling Piao, Ki-Chul Kwon, Moung Hee Lee, Ki Hoon Kwon, Min Young Kim, Nam Kim
Summary: A three-dimensional mobile system based on image super-resolution method is proposed and implemented, which allows for clearer visualizations of real objects with improved resolution and user interaction functionality. The system displays resolution-enhanced reconstructed images without quality degradation, providing higher-resolution visualizations on the mobile display.
OPTICS COMMUNICATIONS
(2021)
Article
Physics, Multidisciplinary
Yuan Yuan, Hui Chen
Summary: Ghost imaging is an unconventional imaging method that retrieves the image of an object by correlating known illumination patterns with reflected intensity. A new scheme is proposed to enable non-invasive imaging of objects through turbid media without the need for prior knowledge of object patterns. It also overcomes the challenges of imaging through turbid media.
NEW JOURNAL OF PHYSICS
(2022)
Article
Optics
Kashif Usmani, Gokul Krishnan, Timothy O'Connor, Bahram Javidi
Summary: Polarimetric imaging is effective for object recognition and material classification by capturing polarimetric signatures of objects. A novel approach using deep learning for 3D polarimetric integral imaging in degraded environments such as low light and occlusions outperforms traditional imaging methods.
Article
Optics
Ji-Hoon Kang, Sungwon Choi, Yun Jeong Hwang, Do Kyung Hwang, Min-Chul Park
Summary: A photoelectrochemical (PEC) cell utilizes solar energy and an electrochemical reaction to produce hydrogen energy. It can function as both a hydrogen generator and an image sensor, allowing it to detect and respond to the surrounding environment without the need for a camera. The imaging performance of PEC cells is presented, and their effectiveness is confirmed through their application in integral imaging, a 3D imaging technique.
Review
Cell Biology
Ruslan Dmitriev, Xavier Intes, Margarida M. Barroso
Summary: Luminescence lifetime imaging offers a unique window into the physiological and structural environment of cells and tissues, enabling a new level of functional and molecular analysis. It provides rich information on cell metabolism, protein-protein interaction networks, and other physiological parameters at multiple scales. The technology allows for 3D spatially resolved and longitudinal measurements ranging from microscopic to macroscopic scale.
JOURNAL OF CELL SCIENCE
(2021)
Article
Chemistry, Analytical
Gilsu Yeo, Myungjin Cho
Summary: This paper proposes a new method for three-dimensional visualization of objects at long distance under photon-starved conditions. The method utilizes digital zooming to improve visual quality by cropping and interpolating the region of interest from the image. Photon counting integral imaging is used to reconstruct three-dimensional images, and multiple observation photon counting integral imaging is employed for more accurate estimation. Optical experiments and performance metrics calculation demonstrate the feasibility and effectiveness of the proposed method in improving the visualization of three-dimensional objects at long distances under photon-starved conditions.
Article
Optics
Kashif Usmani, Timothy O'Connor, Bahram Javidi
Summary: This paper proposes the use of the DnCNN model combined with three-dimensional integral imaging to enhance the image quality of polarimetric imaging in degraded environments such as low light and partial occlusions. Experimental results show that DnCNN outperforms total variation denoising in low light environments and under partial occlusions when it comes to polarimetric integral imaging.
Article
Optics
Yinuo Huang, Gokun Krishnan, Timothy O'Connor, Rakesh Joshi, Bahram Javidi
Summary: This study proposes an approach for underwater optical signal detection using one-dimensional (1D) integral imaging technology. The captured video frames are fed into a convolutional neural network (CNN) for signal detection without the need for depth estimation and 3D scene reconstruction, improving detection speed and performance.
Article
Instruments & Instrumentation
Yuhu Ren, Jimo Jian, Wenjiang Tan, Jing Wang, Tao Chen, Haikun Zhang, Wei Xia
Summary: This article proposes a method for imaging through a turbid medium using a single-shot decoherence polarization gate (DPG). Experimental results show that introducing weakly scattering mediums and preferentially utilizing sparsely scattered photons can improve image quality.
REVIEW OF SCIENTIFIC INSTRUMENTS
(2023)
