The Experts below are selected from a list of 13755 Experts worldwide ranked by ideXlab platform
Chieu D Tran - One of the best experts on this subject based on the ideXlab platform.
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visualizing the effect of gold nanocages on absorption Imaging and lower critical solution temperature phase transition of individual poly nipam based hydrogel particles by near infrared Multispectral Imaging microscopy
Analytical Chemistry, 2011Co-Authors: Irena Mejac, Chieu D TranAbstract:We have successfully utilized the near-infrared Multispectral Imaging (NIR-MSI) microscope to observe and measure directly images and spectra of individual hydrogel particles alone or with added gold nanocages (GNs). The NIR-MSI is suited for this task because it can simultaneously record spectral and spatial information of a sample with high sensitivity (single pixel resolution) and high spatial resolution (∼0.9 μm/pixel). Because both images and spectra of the individual particles can be directly and simultaneously measured by the microscope, it is possible to detect any changes in the spectroscopic properties and/or nature (size, volume) of individual hydrogel particles induced by external factors (e.g., temperature and/or pH). These features make it possible to determine lower critical solution temperature (LCST) values based on monitoring either changes in the NIR spectra or the volume of the hydrogel particle in response to variations in temperature. More importantly, the measured volume transition ...
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visualizing the lower critical solution temperature phase transition of individual poly nipam based hydrogel particles using near infrared Multispectral Imaging microscopy
Analytical Chemistry, 2010Co-Authors: Irena Mejac, Hyehun Park, William W Bryan, Chieu D TranAbstract:This manuscript reports the use of near-infrared Multispectral Imaging (NIR-MSI) microscopy to provide the first direct observation and spectral measurement of individual poly(n-isopropylacrylamide-co-acrylic acid) (NIPAM-co-AAc) hydrogel particles. The high sensitivity and high spatial resolution (∼0.9 μm/pixel) of the NIR-MSI microscope, coupled with its ability to measure images and spectra directly and simultaneously, allows the unprecedented in situ monitoring of the size, morphology, and spectroscopic properties of individual hydrogel particles, which respond strongly to external stimuli (e.g., changes in temperature and/or pH). Importantly, this novel technique allows, for the first time, the direct measurement of the lower critical solution temperature (LCST) phase transition of individual hydrogel particles rather than that of a collection of hydrogel particles. Furthermore, NIR-MSI measurements reveal that the LCST value is unique for each individual hydrogel particle, depending strongly on part...
Jae Youn Hwang - One of the best experts on this subject based on the ideXlab platform.
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smartphone based Multispectral Imaging and machine learning based analysis for discrimination between seborrheic dermatitis and psoriasis on the scalp
Biomedical Optics Express, 2019Co-Authors: Sewoong Kim, Jae Eun Jang, Jihun Kim, Minjoo Hwang, Manjae Kim, Dong Hun Lee, Jae Youn HwangAbstract:For appropriate treatment, accurate discrimination between seborrheic dermatitis and psoriasis in a timely manner is crucial to avoid complications. However, when they occur on the scalp, differential diagnosis can be challenging using conventional dermascopes. Thus, we employed smartphone-based Multispectral Imaging and analysis to discriminate between them with high accuracy. A smartphone-based Multispectral Imaging system, suited for scalp disease diagnosis, was redesigned. We compared the outcomes obtained using machine learning-based and conventional spectral classification methods to achieve better discrimination. The results demonstrated that smartphone-based Multispectral Imaging and analysis has great potential for discriminating between these diseases.
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smartphone based Multispectral Imaging system development and potential for mobile skin diagnosis
Biomedical Optics Express, 2016Co-Authors: Sangyeon Youn, Jae Eun Jang, Minkyu Je, Daniel L Farkas, Jae Youn HwangAbstract:We investigate the potential of mobile smartphone-based Multispectral Imaging for the quantitative diagnosis and management of skin lesions. Recently, various mobile devices such as a smartphone have emerged as healthcare tools. They have been applied for the early diagnosis of nonmalignant and malignant skin diseases. Particularly, when they are combined with an advanced optical Imaging technique such as Multispectral Imaging and analysis, it would be beneficial for the early diagnosis of such skin diseases and for further quantitative prognosis monitoring after treatment at home. Thus, we demonstrate here the development of a smartphone-based Multispectral Imaging system with high portability and its potential for mobile skin diagnosis. The results suggest that smartphone-based Multispectral Imaging and analysis has great potential as a healthcare tool for quantitative mobile skin diagnosis.
Irena Mejac - One of the best experts on this subject based on the ideXlab platform.
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visualizing the effect of gold nanocages on absorption Imaging and lower critical solution temperature phase transition of individual poly nipam based hydrogel particles by near infrared Multispectral Imaging microscopy
Analytical Chemistry, 2011Co-Authors: Irena Mejac, Chieu D TranAbstract:We have successfully utilized the near-infrared Multispectral Imaging (NIR-MSI) microscope to observe and measure directly images and spectra of individual hydrogel particles alone or with added gold nanocages (GNs). The NIR-MSI is suited for this task because it can simultaneously record spectral and spatial information of a sample with high sensitivity (single pixel resolution) and high spatial resolution (∼0.9 μm/pixel). Because both images and spectra of the individual particles can be directly and simultaneously measured by the microscope, it is possible to detect any changes in the spectroscopic properties and/or nature (size, volume) of individual hydrogel particles induced by external factors (e.g., temperature and/or pH). These features make it possible to determine lower critical solution temperature (LCST) values based on monitoring either changes in the NIR spectra or the volume of the hydrogel particle in response to variations in temperature. More importantly, the measured volume transition ...
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visualizing the lower critical solution temperature phase transition of individual poly nipam based hydrogel particles using near infrared Multispectral Imaging microscopy
Analytical Chemistry, 2010Co-Authors: Irena Mejac, Hyehun Park, William W Bryan, Chieu D TranAbstract:This manuscript reports the use of near-infrared Multispectral Imaging (NIR-MSI) microscopy to provide the first direct observation and spectral measurement of individual poly(n-isopropylacrylamide-co-acrylic acid) (NIPAM-co-AAc) hydrogel particles. The high sensitivity and high spatial resolution (∼0.9 μm/pixel) of the NIR-MSI microscope, coupled with its ability to measure images and spectra directly and simultaneously, allows the unprecedented in situ monitoring of the size, morphology, and spectroscopic properties of individual hydrogel particles, which respond strongly to external stimuli (e.g., changes in temperature and/or pH). Importantly, this novel technique allows, for the first time, the direct measurement of the lower critical solution temperature (LCST) phase transition of individual hydrogel particles rather than that of a collection of hydrogel particles. Furthermore, NIR-MSI measurements reveal that the LCST value is unique for each individual hydrogel particle, depending strongly on part...
Arko Lucieer - One of the best experts on this subject based on the ideXlab platform.
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sensor correction and radiometric calibration of a 6 band Multispectral Imaging sensor for uav remote sensing
ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2012Co-Authors: Joshua Kelcey, Arko LucieerAbstract:Abstract. The increased availability of unmanned aerial vehicles (UAVs) has resulted in their frequent adoption for a growing range of remote sensing tasks which include precision agriculture, vegetation surveying and fine-scale topographic mapping. The development and utilisation of UAV platforms requires broad technical skills covering the three major facets of remote sensing: data acquisition, data post-processing, and image analysis. In this study, UAV image data acquired by a miniature 6-band Multispectral Imaging sensor was corrected and calibrated using practical image-based data post-processing techniques. Data correction techniques included dark offset subtraction to reduce sensor noise, flat-field derived per-pixel look-up-tables to correct vignetting, and implementation of the Brown- Conrady model to correct lens distortion. Radiometric calibration was conducted with an image-based empirical line model using pseudo-invariant features (PIFs). Sensor corrections and radiometric calibration improve the quality of the data, aiding quantitative analysis and generating consistency with other calibrated datasets.
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sensor correction of a 6 band Multispectral Imaging sensor for uav remote sensing
Remote Sensing, 2012Co-Authors: Joshua Kelcey, Arko LucieerAbstract:Unmanned aerial vehicles (UAVs) represent a quickly evolving technology, broadening the availability of remote sensing tools to small-scale research groups across a variety of scientific fields. Development of UAV platforms requires broad technical skills covering platform development, data post-processing, and image analysis. UAV development is constrained by a need to balance technological accessibility, flexibility in application and quality in image data. In this study, the quality of UAV imagery acquired by a miniature 6-band Multispectral Imaging sensor was improved through the application of practical image-based sensor correction techniques. Three major components of sensor correction were focused upon: noise reduction, sensor-based modification of incoming radiance, and lens distortion. Sensor noise was reduced through the use of dark offset imagery. Sensor modifications through the effects of filter transmission rates, the relative monochromatic efficiency of the sensor and the effects of vignetting were removed through a combination of spatially/spectrally dependent correction factors. Lens distortion was reduced through the implementation of the Brown–Conrady model. Data post-processing serves dual roles in data quality improvement, and the identification of platform limitations and sensor idiosyncrasies. The proposed corrections improve the quality of the raw Multispectral imagery, facilitating subsequent quantitative image analysis.
Jae Eun Jang - One of the best experts on this subject based on the ideXlab platform.
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smartphone based Multispectral Imaging and machine learning based analysis for discrimination between seborrheic dermatitis and psoriasis on the scalp
Biomedical Optics Express, 2019Co-Authors: Sewoong Kim, Jae Eun Jang, Jihun Kim, Minjoo Hwang, Manjae Kim, Dong Hun Lee, Jae Youn HwangAbstract:For appropriate treatment, accurate discrimination between seborrheic dermatitis and psoriasis in a timely manner is crucial to avoid complications. However, when they occur on the scalp, differential diagnosis can be challenging using conventional dermascopes. Thus, we employed smartphone-based Multispectral Imaging and analysis to discriminate between them with high accuracy. A smartphone-based Multispectral Imaging system, suited for scalp disease diagnosis, was redesigned. We compared the outcomes obtained using machine learning-based and conventional spectral classification methods to achieve better discrimination. The results demonstrated that smartphone-based Multispectral Imaging and analysis has great potential for discriminating between these diseases.
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smartphone based Multispectral Imaging system development and potential for mobile skin diagnosis
Biomedical Optics Express, 2016Co-Authors: Sangyeon Youn, Jae Eun Jang, Minkyu Je, Daniel L Farkas, Jae Youn HwangAbstract:We investigate the potential of mobile smartphone-based Multispectral Imaging for the quantitative diagnosis and management of skin lesions. Recently, various mobile devices such as a smartphone have emerged as healthcare tools. They have been applied for the early diagnosis of nonmalignant and malignant skin diseases. Particularly, when they are combined with an advanced optical Imaging technique such as Multispectral Imaging and analysis, it would be beneficial for the early diagnosis of such skin diseases and for further quantitative prognosis monitoring after treatment at home. Thus, we demonstrate here the development of a smartphone-based Multispectral Imaging system with high portability and its potential for mobile skin diagnosis. The results suggest that smartphone-based Multispectral Imaging and analysis has great potential as a healthcare tool for quantitative mobile skin diagnosis.
