Now showing 1 - 10 of 52
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    Portable holgraphic imager for biological samples
    (2014-01-20)
    A portable holographic imaging platform combining with an automatic micro-objects detection algorithm is demonstrated for biological samples. All components of the imaging platform are aligned to one another along the same optical axis, provides many advantages such as large field-of-view, simple optical setup, and no optical aberration. Main features in the software are feature detection and counting. The average overall computational time is of 52.37 seconds, specificity and sensitivity of our algorithms on a 2593×1944 pixels hologram are 0.978 and 0.923 respectively. Although the algorithm is not optimized, the technique here only focuses on the detection and counting problem.
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    Three-dimensional microscopy of biopsies with a handheld confocal microscope
    (2015-10-02)
    Intravital confocal microscopy has provided powerful mechanistic insights into health and disease with three-dimensional imaging capability and has become a common imaging instrument in the modern biological laboratory and clinic. However, the requisite of high numerical aperture, short working distance, and small field of view that enable confocal microscopy limit the ability to investigate hollow organs in vivo. Here we introduce a handheld confocal microscope that circumvents the above technical limitations of confocal microscopy and, as a result, provides imaging access to variety tissues in vivo. The handheld microscope achieves its miniaturization with micro-optics and microelectromechanical systems scanner technology enabling a small form factor and 3-D imaging performance.
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    Image mosaicing and real-time imaging with MEMS based handheld confocal microscope
    (2014-01-01)
    In this paper, we demonstrated a handheld confocal fluorescence microscope using dual-axis confocal architecture with a microelectromechanical systems (MEMS) scanner. The laser sources for the microscope are both in visible (660 nm) and near-infrared (778 nm) wavelengths. The microscope will be used for in vivo cervical cancer screening in real-time with human patients. The maximum imaging depth is over 300 μm into the tissue for epithelial cancer screening. The maximum field of view (FOV) is 550 μm × 500 μm with 14 frames/second.
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    Centralized pap test diagnosis with artificial neural network and internet of things
    (2016-07-02)
    Dumripatanachod, Manatchakorn
    ;
    In this work, we propose a utilization of a serverclient system model that using the Internet of Things (IoT) technology to process Pap smear imaging data derived from high-resolution microscopes and to classify the those images by employing the Artificial Neural Network (ANN) learning algorithm on the server. The IoT can enable those microscopes to communicate with one another while the ANN enables a new method of imaging classification with high accuracy. We utilize 917 high-resolution images as an input for our proposed method. The method achieves a root mean square error of 0.8834 and correlation coefficient of 0.6643.
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    Monocular depth estimation based on deep learning for intraoperative guidance using surface-enhanced Raman scattering imaging
    (2025-02-01)
    Juhong, Aniwat
    ;
    Li, Bo
    ;
    Liu, Yifan
    ;
    Yao, Cheng You
    ;
    Yang, Chia Wei
    Imaging of surface-enhanced Raman scattering (SERS) nanoparticles (NPs) has been intensively studied for cancer detection due to its high sensitivity, unconstrained low signal-to-noise ratios, and multiplexing detection capability. Furthermore, conjugating SERS NPs with various biomarkers is straightforward, resulting in numerous successful studies on cancer detection and diagnosis. However, Raman spectroscopy only provides spectral data from an imaging area without co-registered anatomic context. This is not practical and suitable for clinical applications. Here, we propose a custom-made Raman spectrometer with computer-vision-based positional tracking and monocular depth estimation using deep learning (DL) for the visualization of 2D and 3D SERS NPs imaging, respectively. In addition, the SERS NPs used in this study (hyaluronic acid-conjugated SERS NPs) showed clear tumor targeting capabilities (target CD44 typically overexpressed in tumors) by an ex vivo experiment and immunohistochemistry. The combination of Raman spectroscopy, image processing, and SERS molecular imaging, therefore, offers a robust and feasible potential for clinical applications.
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    3CA-FO: Budget stereoscopic 3D imaging colposcope
    (2023-01-01)
    Amnuayphol, Nontiwat
    ;
    ;
    Piyawattanametha, Nicholas
    This research aims to develop an advanced medical device designed to enhance the diagnostic quality of conventional colposcopy. The device utilizes cutting-edge technologies, including 3D image synthesis via stereoscopic imaging and polarized glasses as the primary focus of the study is to improve cervical cancer. The research scope encompasses enhancing spatial information, The research scope involves enhancing spatial information while allowing the doctor to maintain the advantage of near vision and enabling multi-angle imaging. The hardware of the colposcope is based on the design from Duke University's 2018 research. Our 3D Cervical Assessment - Fine-tuned Optics colposcope (3CA-FO) is capable of providing real-time 3D imaging with precise calibration, achieved through the utilization of the Embedded Mono Calibration for Heterogeneous Lenses technique. This ensures an instantaneous and high-quality 3D output response.
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    Evaluation of rapid detection system for Escherichia coli in water samples
    (2017-02-21)
    Pipitsombat, Chanikarn
    ;
    Phasuk, Kanchana
    ;
    ;
    We demonstrated a fast detection platform for Escherichia coli (E. coli) in water. The system is based on a fluorescence detection technique by determining enzyme β-D-glucuronidase (GUD) activity and relating that activity to E. coli concentration. We found the portable E. coli detection platform is able to detect both the fluorescence 4-MU signal from the reaction of GUD assay from 0.01-1 μg/ml and to enumerate the number of E. coli in the range of 10<sup>5</sup>-10<sup>7</sup> CFU/ml. The required incubation time is in between 20-240 min. In addition, we can estimate the maximum of incubation time for detecting minimum of E. coli 1 CFU/ml from the equation to be 576 mins. Our preliminary study demonstrates that the system can be used to enumerate the number of E. coli in water on-site and requires less detection time than traditional E. coli methods.
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    Fluorescence based rapid E. coli Detector
    (2021-01-01)
    Chantharasuriyasakun, Thitiyo
    ;
    Sungwol, Siriyakorn
    ;
    We have developed a fluorescence based rapid detection for E. coli which is an indicator for water quality identification. This portable detector will trim down the time taken to detect E. coli in the water from a few days to just a couple of minutes. Moreover, with the use of enzyme-substrate reaction between the enzyme β-D glucuronidase (GUD) in the E. coli and the substrate 4-methylumblliferyl-β-D glucuronide (MUG) resulting in a byproduct of 4-methylumbellliferone (4MU), the fluorescence emitting from this byproduct is then detected by our system and be enumerated for the number of E. coli. Hence, we have tested our system with two different pH solution, distilled water and tap water with pH values at 6.68 and 7.81 consecutively. Our developed system can detect the byproduct of 4MU in the concentration range of 0.001 μ M to 2 μM for the distilled water and 0.001 μM to 0.1 μM for the tap water, which can then be used for the enumeration of E. coli.
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    An ultra-violet sterilization robot for disinfection
    (2019-07-01)
    Chanprakon, Pacharawan
    ;
    Sae-Oung, Tapparat
    ;
    ; ;
    Ultraviolet (UV) sterilization technology is used to aid in reduction of microorganisms that may remain on the surfaces after a standard cleaning to the minimum number. Our research team developed a UV robot or UV bot for sterilization in an operating or a patient room. Our UV bot has three 19.3-watt of UV lamps mounted on top of the UV bot platform covering 360° direction. Our UV bot employed an embedded system based on a Raspberry Pi to aid in navigation to avoid obstacles. In addition, we tested the effectiveness of eliminating Staphylococcus Aureus bacteria sample plates located 35 cm away from our UV bot to be within 8 seconds after UV light exposure.
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    Editorial Special Issue on OMN 2022
    (2023-08-15) ;
    Ferhanoglu, Onur
    ;
    Zhang, John X.J.
    We are pleased to provide readers with the newest and important technologies presented at the International Conference on Optical MEMS and Nanophotonics 2022 (OMN 2022), through this Special Issue published by the IEEE Photonics Technology Letters (PTL) journal. The Optical Micro- and Nano Systems (OMN) conferences have surged in prominence over the recent years, mirroring the rapid advancements and burgeoning interest in the realm of optics and photonics technology for diverse applications from medical imaging, environmental sensing, to autonomous driving. OMN epitomizes the amalgamation of theory and practice, facilitated by our increasing technical prowess to engineer micro- and nano-scale structures and dynamic elements purpose-built for the interaction and manipulation of light.