Video rate terahertz imaging using Si-technology based micro-bolometer array/camera

2012 ◽  
Vol 1437 ◽  
Author(s):  
Iwao Hosako ◽  
Naoki Oda
Keyword(s):  
Imaging System ◽  
Infrared Detector ◽  
Imaging Method ◽  
Label Free ◽  
Quantum Cascade ◽  
Bolometer Array ◽  
Fire Disaster ◽  
Thermal Cameras ◽  
Application Fields ◽  
Array Camera

ABSTRACTTerahertz (THz) imaging technique has attracted much attention in recent years, because the technique can be applied to many application fields such as nondestructive analysis and imaging method through optically opaque materials. A THz real-time imaging equipment (Terahertz Camera) considered increasingly important in the future has been developed. We report a THz video rate imaging system consisting of a quantum-cascade laser (QCL) light source as a THz illuminator, and a Si-technology based un-cooled micro-bolometer focal-plane array (an infrared detector common in thermal cameras). We also describe two applications of our imaging system: stand-off imaging for search and rescue in a fire disaster, and label-free biomaterial detection.

scholarly journals Optical Aberration Calibration and Correction of Photographic System Based on Wavefront Coding

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4011
Author(s):  
Chuanwei Yao ◽  
Yibing Shen
Keyword(s):  
Imaging System ◽  
Optical Design ◽  
Computational Imaging ◽  
Large Field ◽  
Wavefront Aberration ◽  
Imaging Method ◽  
Image Deconvolution ◽  
Pupil Function ◽  
Wavefront Coding ◽  
Blurred Images

The image deconvolution technique can recover potential sharp images from blurred images affected by aberrations. Obtaining the point spread function (PSF) of the imaging system accurately is a prerequisite for robust deconvolution. In this paper, a computational imaging method based on wavefront coding is proposed to reconstruct the wavefront aberration of a photographic system. Firstly, a group of images affected by local aberration is obtained by applying wavefront coding on the optical system’s spectral plane. Then, the PSF is recovered accurately by pupil function synthesis, and finally, the aberration-affected images are recovered by image deconvolution. After aberration correction, the image’s coefficient of variation and mean relative deviation are improved by 60% and 30%, respectively, and the image can reach the limit of resolution of the sensor, as proved by the resolution test board. Meanwhile, the method’s robust anti-noise capability is confirmed through simulation experiments. Through the conversion of the complexity of optical design to a post-processing algorithm, this method offers an economical and efficient strategy for obtaining high-resolution and high-quality images using a simple large-field lens.

scholarly journals Synthetic polarization-sensitive optical coherence tomography by deep learning

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yi Sun ◽  
Jianfeng Wang ◽  
Jindou Shi ◽  
Stephen A. Boppart
Keyword(s):  
Optical Coherence Tomography ◽  
Deep Learning ◽  
Imaging System ◽  
Imaging Modality ◽  
Similarity Index ◽  
Polarization Sensitivity ◽  
Imaging Method ◽  
Optical Coherence ◽  
The Real ◽  
Oct Imaging

AbstractPolarization-sensitive optical coherence tomography (PS-OCT) is a high-resolution label-free optical biomedical imaging modality that is sensitive to the microstructural architecture in tissue that gives rise to form birefringence, such as collagen or muscle fibers. To enable polarization sensitivity in an OCT system, however, requires additional hardware and complexity. We developed a deep-learning method to synthesize PS-OCT images by training a generative adversarial network (GAN) on OCT intensity and PS-OCT images. The synthesis accuracy was first evaluated by the structural similarity index (SSIM) between the synthetic and real PS-OCT images. Furthermore, the effectiveness of the computational PS-OCT images was validated by separately training two image classifiers using the real and synthetic PS-OCT images for cancer/normal classification. The similar classification results of the two trained classifiers demonstrate that the predicted PS-OCT images can be potentially used interchangeably in cancer diagnosis applications. In addition, we applied the trained GAN models on OCT images collected from a separate OCT imaging system, and the synthetic PS-OCT images correlate well with the real PS-OCT image collected from the same sample sites using the PS-OCT imaging system. This computational PS-OCT imaging method has the potential to reduce the cost, complexity, and need for hardware-based PS-OCT imaging systems.

Standoff Detection of Oil and Powder Mixtures at 12 Meters Using a Tunable Quantum Cascade Laser-Based System with a Close Focus Telescope and Uncooled Infrared Detector

2021 ◽  
pp. 000370282110603
Author(s):  
J. Chance Carter ◽  
Phillip H. Paul ◽  
Joshua M. Ottaway ◽  
Peter Haugen ◽  
Anastacia M. Manuel
Keyword(s):  
Quantum Cascade Laser ◽  
Continuous Wave ◽  
Infrared Detector ◽  
Wave Mode ◽  
Infrared Source ◽  
Powder Mixtures ◽  
Quantum Cascade ◽  
System A ◽  
Continuous Wave Mode ◽  
Lock In

We have designed and demonstrated a quantum cascade laser (QCL) based standoff system that utilizes an uncooled mercury cadmium telluride (MCT) detector with lock-in signal processing for chemical identification at a distance of 12.5 meters in indoor ambient light conditions. In the system, a tunable quad-QCL operating (1 MHz) in quasi-continuous wave mode between 8.45 and 10.03 μm (∼1182 to 1000 cm−1) serves as the active mid-infrared source for remotely interrogating mineral, powder, and thin film oil samples including powder mixtures (6, 12.5, 25, and 50%) of crystalline quartz (SiO2) in KBr. Light as reflected from a given sample is collected using a 10-inch (25.4 cm) Dall Kirkham telescope and coupled with ZnSe optics to an uncooled MCT detector. The mixture dependence of the highly transparent KBr and strongly absorbing quartz was found to fit a modified version of the Schatz reflectance model for compacted powder mixtures. All reflectance spectra reported are relative to an Au-coated diffuse reflector. A NIST traceable polystyrene standard reflector was also used to determine the QCL wavelength tuning range and calibration.

scholarly journals A Label-free Multicolor Optical Surface Tomography (ALMOST) imaging method for nontransparent 3D samples

BMC Biology ◽  
2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Axelle Kerstens ◽  
Nikky Corthout ◽  
Benjamin Pavie ◽  
Zengjin Huang ◽  
Frank Vernaillen ◽  
...  
Keyword(s):  
Imaging Method ◽  
Label Free ◽  
Optical Surface

scholarly journals A Hybrid THz Imaging System With a 100-Pixel CMOS Imager and a 3.25–3.50 THz Quantum Cascade Laser Frequency Comb

2019 ◽  
Vol 2 (9) ◽  
pp. 151-154 ◽  
Author(s):  
T. J. Smith ◽  
Anna Broome ◽  
Daniel Stanley ◽  
Jonas Westberg ◽  
Gerard Wysocki ◽  
...  
Keyword(s):  
Quantum Cascade Laser ◽  
Imaging System ◽  
Frequency Comb ◽  
Laser Frequency ◽  
Thz Imaging ◽  
Quantum Cascade ◽  
Cmos Imager

scholarly journals Light-Free Cross-Talk Analysis of a CMOS Infrared Detector Array

Proceedings ◽  
2020 ◽  
Vol 56 (1) ◽  
pp. 10
Author(s):  
Ying Dai ◽  
Syed Zeeshan Ali ◽  
Richard Hopper ◽  
Claudio Falco ◽  
Daniel Popa ◽  
...  
Keyword(s):  
Cross Talk ◽  
Low Cost ◽  
Infrared Detector ◽  
Complementary Metal Oxide Semiconductor ◽  
High Volume ◽  
Oxide Semiconductor ◽  
Simple Method ◽  
Monolithically Integrated ◽  
Thermal Cameras ◽  
Thermal Imagers

Low-cost infrared (IR) thermal cameras are powering a rising market of industrial and consumer applications. Complementary metal-oxide-semiconductor (CMOS)-based thermopile arrays are proven thermal imagers that can be monolithically integrated into low-cost and low-power-consumption formats for high-volume manufacturability. Here we present a simple method to evaluate the cross-talk of these arrays and propose a numerical model for device optimization.

scholarly journals Zebrafish structural development in Mueller-matrix scanning microscopy

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Aymeric Le Gratiet ◽  
Marta d’Amora ◽  
Marti Duocastella ◽  
Riccardo Marongiu ◽  
Artemi Bendandi ◽  
...  
Keyword(s):  
Structural Changes ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Mueller Matrix ◽  
Fluorescence Probes ◽  
Imaging Method ◽  
Structural Development ◽  
Matrix Formalism ◽  
Label Free ◽  
Biological Organization

AbstractZebrafish are powerful animal models for understanding biological processes and the molecular mechanisms involved in different human diseases. Advanced optical techniques based on fluorescence microscopy have become the main imaging method to characterize the development of these organisms at the microscopic level. However, the need for fluorescence probes and the consequent high light doses required to excite fluorophores can affect the biological process under observation including modification of metabolic function or phototoxicity. Here, without using any labels, we propose an implementation of a Mueller-matrix polarimeter into a commercial optical scanning microscope to characterize the polarimetric transformation of zebrafish preserved at different embryonic developmental stages. By combining the full polarimetric measurements with statistical analysis of the Lu and Chipman mathematical decomposition, we demonstrate that it is possible to quantify the structural changes of the biological organization of fixed zebrafish embryos and larvae at the cellular scale. This convenient implementation, with low light intensity requirement and cheap price, coupled with the quantitative nature of Mueller-matrix formalism, can pave the way for a better understanding of developmental biology, in which label-free techniques become a standard tool to study organisms.

Method for Uncooled Infrared Image Processing

2013 ◽  
Vol 427-429 ◽  
pp. 1948-1951
Author(s):  
Jia Lin Ma ◽  
Xia Zhang
Keyword(s):  
Image Processing ◽  
Infrared Imaging ◽  
Imaging System ◽  
Infrared Detector ◽  
Infrared Image ◽  
National Defense ◽  
Histogram Modification ◽  
Infrared Image Processing ◽  
Manufacturing Techniques ◽  
Uncooled Infrared Imaging

Uncooled infrared imaging system has been increasingly applied in both the national defense and various fields of national economy. Such popularity is attributed to many of its advantages, including small size, light weight, low energy-consumption and superior portability. However, as limited by the structure and the material of infrared detector and the manufacturing techniques, infrared images are plagued with low resolution and poor image quality. This paper mainly studies the uncooled infrared image processing based on the gray levels partition processing, gray levels stretching and histogram modification, it aims to enhance the visual effect of infrared image.

scholarly journals A Quantitative Method to Measure Low Levels of ROS in Nonphagocytic Cells by Using a Chemiluminescent Imaging System

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Jun-Sub Kim ◽  
Kyuho Jeong ◽  
James M. Murphy ◽  
Yelitza A. R. Rodriguez ◽  
Ssang-Taek Steve Lim
Keyword(s):  
Real Time ◽  
Intracellular Signaling ◽  
Imaging System ◽  
Low Cost ◽  
Fiber Formation ◽  
Imaging Method ◽  
Actin Stress Fiber ◽  
Dependent Manner ◽  
Protein Tyrosine ◽  
Low Levels

Chemiluminescence (CL) is one of the most useful methods for detecting reactive oxygen species (ROS). Although fluorescence dyes or genetically encoded biosensors have been developed, CL is still used due to its high sensitivity, ease of use, and low cost. While initially established and used to measure high levels of ROS in phagocytic cells, CL assays are not ideal for measuring low levels of ROS. Here, we developed a newly modified CL assay using a chemiluminescent imaging system for measuring low concentrations of ROS in nonphagocytic cells. We found that dissolving luminol in NaOH, rather than DMSO, increased the H2O2-induced CL signal and that the addition of 4-iodophenylboronic acid (4IPBA) further increased CL intensity. Our new system also increased the rate and intensity of the CL signal in phorbol 12-myristate 13-acetate- (PMA-) treated HT-29 colon cancer cells compared to those in luminol only. We were able to quantify ROS levels from both cells and media in parallel using an H2O2standard. A significant benefit to our system is that we can easily measure stimulus-induced ROS formation in a real-time manner and also investigate intracellular signaling pathways from a single sample simultaneously. We found that PMA induced tyrosine phosphorylation of protein tyrosine kinases (PTKs), such as focal adhesion kinase (FAK), protein tyrosine kinase 2 (Pyk2), and Src, and increased actin stress fiber formation in a ROS-dependent manner. Interestingly, treatment with either N-acetyl-L-cysteine (NAC) or diphenyleneiodonium (DPI) reduced the PMA-stimulated phosphorylation of these PTKs, implicating a potential role in cellular ROS signaling. Thus, our newly optimized CL assay using 4IPBA and a chemiluminescent imaging method provides a simple, real-time, and low-cost method for the quantification of low levels of ROS.

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