Dr. Wenbo Wang Profile

Dr. Wenbo Wang

Research Engineer at Global Health Labs

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Publications (12)

Proceedings Article | 13 March 2024 Presentation

Rapid determination of edible oil fortification and quality parameters using optical techniques

Wenbo Wang, Ted Baughman, Matthew Keller

Proceedings Volume PC12832, PC128320A (2024) https://doi.org/10.1117/12.3006284

KEYWORDS: Photovoltaics, Ultraviolet radiation, Near infrared spectroscopy, Quantitative analysis, Quality control, Equipment, Education and training, Absorption spectroscopy

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Proceedings Article | 6 March 2023 Presentation + Paper

Evaluating color correction algorithms for automated interpretation of urinalysis dipsticks with low-cost image sensors

Wenbo Wang, James Stafford, Andrew Miller, Rose Buchmann, Ethan Spencer, Angela Michelle San Juan, Jamie Purcell, Matthew Keller

Proceedings Volume 12369, 123690B (2023) https://doi.org/10.1117/12.2653972

KEYWORDS: Light sources and illumination, Imaging systems, Cameras, Glucose, Spectrophotometry, Color, Gamma correction, Proteins, Data analysis, Color difference

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Some medical diagnostic tools, such as urinalysis dipsticks, rely on reading colors accurately for making clinical decisions. Reading color visually can be subject to 1) perceptual differences (inter-observer), 2) environmental factors such as illumination, and 3) target coloring (metamerism), especially among users with limited training and experience. Mobile phone cameras and compact camera modules offer potential low-cost platforms for automated, objective color readouts. However, image colors are a function of camera sensor and illumination characteristics. To restore color fidelity, color correction techniques must be applied to account for systematic deviation. This work aims to provide a quantitative assessment of color correction techniques and reduce variability in color interpretation for urinalysis dipstick results using a low-cost imager. Three color correction methods – linear, polynomial, and root-polynomial regression – were compared for performance in color difference reduction. A standard color checker card was used as reference to compute color correction matrices. A custom imaging system with a low-cost camera module was developed to capture images under controlled illumination. Reference values of the color checker card were obtained with a CM-26d handheld spectrophotometer. The CIE2000 ∆E was used to quantify the color difference between the camera image and the spectrometer to evaluate 3 color correction algorithms. The derived color correction matrices were applied to urinalysis dipstick images and compared to the spectrometer readings. Results indicated that polynomial fitting showed the lowest ∆E during calibration but failed to properly correct urine dipstick colors. Root polynomial offered the best performance in reducing color differences to be below 3 to 4 ∆E. Utilizing L*a*b values for classifying a given dipstick result according to reference concentration levels, it was found that quadratic discriminant analysis (QDA) and k Nearest Neighbor (kNN) classifiers achieved an 82.9% and 97.1% accuracy, respectively.

Proceedings Article | 2 March 2022 Presentation + Paper

Customization and testing of a mobile reader app for an open-access SARS-CoV-2 antigen lateral flow assay

Wenbo Wang, James Stafford, Dipayan Banik, Matthew Keller

Proceedings Volume 11950, 1195009 (2022) https://doi.org/10.1117/12.2609795

KEYWORDS: Visualization, Image resolution, Detection and tracking algorithms, Signal detection, RGB color model, Diagnostic tests, Machine learning, Image quality, Video, Receivers

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Proceedings Article | 5 March 2021 Presentation + Paper

Effects of image capture and correction approaches on quantifying results of lateral flow assays with mobile phones

Wenbo Wang, Liming Hu, Matthew Keller

Proceedings Volume 11632, 116320K (2021) https://doi.org/10.1117/12.2582396

KEYWORDS: Cell phones, Light sources and illumination, Light sources, Feature extraction, Convolutional neural networks, Cameras, Blood

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Proceedings Article | 4 March 2019 Presentation

In vivo tissue micro-Raman spectroscopy with simultaneous reflectance confocal microscopy monitoring using a single laser (Conference Presentation)

Zhenguo Wu, Liwei Jiang, Wenbo Wang, Jianhua Zhao, Harvey Lui, Haishan Zeng

Proceedings Volume 10851, 108510U (2019) https://doi.org/10.1117/12.2513719

KEYWORDS: Confocal microscopy, Raman spectroscopy, In vivo imaging, Reflectivity, Chromium, Beam splitters, Laser tissue interaction, Micro raman spectroscopy, Imaging systems, Tissue optics

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Proceedings Article | 4 March 2019 Presentation

Development of a low cost SWIR spectrometer for low resource settings (Conference Presentation)

Matthew Keller, James Stafford, Wenbo Wang, Ryan Calderon, Benjamin Wilson

Proceedings Volume 10869, 1086916 (2019) https://doi.org/10.1117/12.2512007

KEYWORDS: Short wave infrared radiation, Spectroscopy, Near infrared, Spectroscopes, Optical spectroscopy, Visible radiation, Microelectromechanical systems, Infrared detectors, Infrared radiation, Electronics

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Proceedings Article | 13 February 2018 Presentation + Paper

Detecting adulterants in milk with lower cost mid-infrared and Raman spectroscopy

Changwon Lee, Wenbo Wang, Benjamin Wilson, Marie Connett, Matthew Keller

Proceedings Volume 10485, 104850F (2018) https://doi.org/10.1117/12.2291979

KEYWORDS: Raman spectroscopy, Urea, Spectroscopes, Mid-IR, Spectrometers, Infrared spectroscopy, Spectral resolution

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Proceedings Article | 3 May 2016 Presentation

Blood test using surface-enhanced Raman spectroscopy with colloidal silver nanoparticle substrate to detect polyps and colorectal cancer (Conference Presentation)

Wenbo Wang, Shangyuan Feng, Isabella Tai, Guannan Chen, Rong Chen, Haishan Zeng

Proceedings Volume 9704, 97040A (2016) https://doi.org/10.1117/12.2211419

KEYWORDS: Error control coding, Blood, Surface enhanced Raman spectroscopy, Colorectal cancer, Nanoparticles, Silver, Plasma, Cancer, Diagnostics, Endoscopy

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SPIE Journal Paper | 1 February 2016 Open Access

Disposable sheath that facilitates endoscopic Raman spectroscopy

Wenbo Wang, Michael Short, Isabella Tai, Haishan Zeng

JBO, Vol. 21, Issue 02, 025001, (February 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.2.025001

KEYWORDS: Raman spectroscopy, Endoscopy, Ferroelectric polymers, Epoxies, Tissues, Skin, Tissue optics, In vivo imaging, Natural surfaces, Error control coding

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SPIE Journal Paper | 5 May 2015 Open Access

Image distortion and its correction in linear galvanometric mirrors–based laser-scanning microscopy

Wenbo Wang, Zhenguo Wu, Haishan Zeng

JBO, Vol. 20, Issue 05, 056001, (May 2015) https://doi.org/10.1117/12.10.1117/1.JBO.20.5.056001

KEYWORDS: Distortion, Mirrors, Phase shifts, Scanners, Microscopy, Imaging systems, Luminescence, Confocal microscopy, Laser scanners, Data acquisition

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SPIE Journal Paper | 23 October 2014 Open Access

Does optical microangiography provide accurate imaging of capillary vessels?: validation using multiphoton microscopy

Hequn Wang, Utku Baran, Yuandong Li, Wan Qin, Wenbo Wang, Haishan Zeng, Ruikang Wang

JBO, Vol. 19, Issue 10, 106011, (October 2014) https://doi.org/10.1117/12.10.1117/1.JBO.19.10.106011

KEYWORDS: Capillaries, Visualization, Tissues, Tissue optics, Multiphoton microscopy, Neuroimaging, Brain, In vivo imaging, Image resolution, Biomedical optics

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Proceedings Article | 14 October 2005 Paper

Potential of near-infrared hyperspectral reflectance imaging for screening of farm feed contamination

Wenbo Wang, Jitendra Paliwal

Proceedings Volume 5969, 59692T (2005) https://doi.org/10.1117/12.628232

KEYWORDS: Contamination, Hyperspectral imaging, Imaging systems, Near infrared, Statistical modeling, Statistical analysis, Particles, Microscopy, Error analysis, Cameras

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Showing 5 of 12 publications

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