RWRobert Henry Wilson

Robert Henry Wilson

*This is an algorithmically generated author record based on publicly available information.

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Previous Organizations / Institutes

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Robert Henry Wilson has a total of 178 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Short-wave infrared (SWIR) spectroscopy and imaging of biological tissues: a decade of advancements (2016-2025)

    by Robert H. Wilson, Gordon T. Kennedy, Christopher A. Campbell, Thinh Phan, Alex Hao Lin, Benjamin Levi, Anthony J. Durkin

    SignificanceShort-wave infrared (SWIR) light has recently gained popularity in tissue spectroscopy and imaging applications for a wide range of biomedical applications, primarily due to advancements in hardware (e.g., cameras).AimWe aim to provide a detailed review of SWIR-based biomedical optics studies from the past decade, during which there has been a proliferation of SWIR-based tissue-optics studies.ApproachWe report literature occurring after the publication of our previous (2015) review of this space, describing next-generation SWIR-based techniques that hold significant promise for enhanced in vivo tissue characterization and clinical translation.ResultsInterest from the biophotonics field in SWIR technology is typically attributable to (1) the capability of SWIR light to provide greater sensitivity to chromophores such as water and lipids, with absorption peaks not as prominent in the visible-to-near-infrared (VIS-NIR) spectral region, and (2) the potential for SWIR photons to penetrate through superficial tissue layers due to lower scattering in the SWIR than in the VIS-NIR, as well as substantially reduced attenuation from hemoglobin and melanin.ConclusionThis review of emerging SWIR biophotonic technologies illustrates the rapid growth in the use of SWIR light for in vivo tissue spectroscopy and imaging.


  • Open Access

    Cerebrovascular alterations in a mouse model of late-onset Alzheimer’s disease

    by Christian Crouzet, Danny F. Xie, Maiella Nona Laquindanum Nuqui, Jonathan Hasselman, Thinh Phan, Robert H. Wilson, David Baglietto-Vargas, Celia Da Cunha, Hayk Davtyan, Stefania Forner, et al.

    SignificanceAlzheimer’s disease (AD) is an age-related neurodegenerative disorder with cerebrovascular alterations contributing to cognitive decline. Assessing cerebrovascular changes in mouse models that mimic the human condition of late-onset, sporadic AD is important for better human applicability.AimTo assess cerebrovascular changes in three mouse models: (1) 3xTg-AD; (2) the humanized amyloid-beta knock-in (hAβ-KI) mouse model of late-onset, sporadic AD; and (3) age-matched wild-type mice.ApproachWe measured resting-state cerebral blood flow (CBF) and neurovascular coupling (NVC) using laser speckle imaging (LSI) and performed ex vivo analyses of gene expression and cerebrovascular structure using bulk ribonucleic acid sequencing and confocal microscopy, respectively.ResultsOur study identifies specific cerebrovascular alterations in the hAβ-KI mouse model, including increased resting-state CBF, a shift toward smaller blood vessel diameters, impaired NVC, and transcriptomic changes related to metabolism and inflammation. Notably, we found that the increased resting-state CBF was primarily associated with female hAβ-KI mice.ConclusionsOur findings demonstrate that the hAβ-KI mouse model exhibits cerebrovascular alterations that warrant further investigation to uncover the underlying mechanisms. Expanding these studies could enhance our understanding of cerebrovascular alterations in AD and support the development of targeted therapeutic strategies.


  • Open Access

    Review of machine learning for optical imaging of burn wound severity assessment

    by Robert H. Wilson, Rebecca Rowland, Gordon T. Kennedy, Chris Campbell, Victor C. Joe, Theresa L. Chin, David M. Burmeister, Robert J. Christy, Anthony J. Durkin

    Incorporating emerging technologies into the clinical workflow for the early staging of burn severity may provide a crucial inroad toward improved diagnostic accuracy and personalized treatment.1 Early knowledge of the severity of the burn gives the clinician the ability to discuss treatment options and prognostication for hospital stays, healing, and scarring. Within the spectrum of burn severity, superficial partial thickness burns often do not require skin grafting but can be managed with daily wound care or covered with various synthetic or biologic dressings. Full thickness burns typically require skin grafting because they will take >3 weeks to heal and can result in symptomatic and constricting scars. Deep partial thickness burns can act like full thickness burns and require skin grafting. Distinguishing the burn severity along the spectrum can be difficult early after injury and is subjective when based on previous clinical experience. Modalities that allow for additional objective data promptly after injury helps the clinician to manage the wound properly to enable healing of the damaged tissue and reduce infection, contracture, and other unfavorable outcomes.2 In many cases, some portions of a burn wound need grafting but other portions do not, so it is vital to develop imaging techniques that can spatially-segment tissue regions with deeper burns from locations where the burn is more superficial. For the above reasons, burn wound assessment is a prime example of an application for which the combination of optical imaging devices and machine learning (ML) algorithms has recently made notable progress toward translation to clinical care.


  • Open Access

    Poster 393: The Impact of the COVID-19 Lockdown on the Rate of Injuries in the National Basketball Association

    by Nguyen Nguyen, Harold Dorsey, Kalaila Pais, Andrew Boone, Robert Wilson, Harpal Khanuja, Sanjum Singh

    Objectives: This study aims to assess the impact of the COVID-19 lockdown on injury rates experienced by athletes of the National Basketball Association (NBA). We hypothesized that there would be a change in the incidence rates of sports-related injuries on return to play post-lockdown. Methods: We conducted a retrospective analysis utilizing data retrieved from Pro Sports Transactions Archive. This database records all transactions occurring in the NBA, including injuries, trades, signings, and waivings. Information about all injuries to players in the NBA over the last 10 years were collected. All injury descriptions in the dataset were stratified by key anatomical locations and the dataset was shortened to the eight most common. These specific locations were selected due to higher injury rates overall comparatively to the rest of the body. We then compared basketball players who played after the COVID-19 NBA suspension to a propensity score generated control group before the suspension. They were matched for age, body mass index (BMI), regions of the country and positions played. The study outcome variable was the injuries stratified into 4 different groups. Demographics for every player injured (height, weight, years played, and birth dates) were collected from Basketball Reference, in line with publicly available information from the NBA. Results: We compared 789 players during the post-suspension to 3,945 match controlled pre- suspension players. The mean age of players was 27.1± 5 years, mean BMI was 25.0± 1.2. The eight most common injuries were knee, ankle, back, hamstring, shoulder, calf, groin, and elbow injuries. Prior to propensity score matching, the rates of the three most common were: knee (pre-suspension: 33.79%; postsuspension: 36.88%), ankle (pre: 27.28%; post: 26.62%), back (pre: 18.52%, post: 14.45%) (p-value: 0.022). Following propensity score matching, the results are as follows: knee (pre-suspension: 29.89%; post-suspension: 36.88%), ankle (pre: 27.10%; post: 26.62%), back (pre: 19.06%, post: 14.45%) (p-value: <0.001). Conclusions: Our study concluded that among the three most common injuries, the knee was noted to have a statistically significant increase post the COVID-19 NBA suspension. Moreover, there was a significant decrease in the percentage of players who suffered back and ankle injuries [Table: see text][Table: see text]

  • Using Machine Learning with Multispectral Spatial Frequency Domain Imaging Data to Characterize Burns from Millimeter-Wave Sources

    by Robert H. Wilson, Gordon T. Kennedy, Chris Campbell, William Voorhees, James E. Parker, Christine Kowalczewski, Jason Payne, Andrew Kowalczewski, Robert Christy, Jeffrey Whitmore, et al.

    Accurate, prompt classification of burn wound severity is crucial for patient care. We use non-contact multispectral spatial frequency domain imaging technology coupled with machine learning algorithms to categorize millimeter-wave radiation burns in a preclinical model.

  • Open Access

    Optical signaling through biological waveguides

    by Nicolas R. Perez, Anna S. Bezryadina, Robert H. Wilson, Daryl Preece

    SPIE Digital Library Proceedings

  • Open Access

    Prostate-Specific Antigen Doubling Time Kinetics following Radical Prostatectomy to Guide Need for Treatment Intervention: Validation of Low-Risk Recurrences

    by Erica Huang, Joshua Tran, Linda My Huynh, Douglas Skarecky, Robert H. Wilson, Thomas Ahlering

    Biochemical recurrence (BCR) following radical prostatectomy (RP) has a limited ability to predict prostate cancer (PC) progression, leading to overtreatment, decreased quality of life, and additional expenses. Previously, we established that one-third of men with BCR in our group experienced low-risk recurrences that were safely observed without treatment. Our retrospective cohort analysis of 407 BCR patients post RP validates the use of PSA doubling time (DT) kinetics to direct active observation (AO) versus treatment following RP. The primary outcome was no need for treatment according to the predictive value of models of ROC analysis. The secondary outcome was PC-specific mortality (PCSM) according to Kaplan–Meier analysis. A total of 1864 men underwent RP (June 2002–September 2019); 407 experienced BCR (PSA > 0.2 ng/dL, ×2), with a median follow-up of 7.6 years. In adjusted regression analysis, initial PSADT > 12 months and increasing DT were significant predictors for AO (p < 0.001). This model (initial PSADT and DT change) was an excellent predictor of AO in ROC analysis (AUC = 0.83). No patients with initial PSADT > 12 months and increasing DT experienced PCSM. In conclusion, the combination of PSADT > 12 months and increasing DT was an excellent predictor of AO. This is the first demonstration that one-third of BCRs are at low risk of PCSM and can be managed without treatment via DT kinetics.


  • Open Access

    Quantifying the confounding effect of pigmentation on measured skin tissue optical properties: a comparison of colorimetry with spatial frequency domain imaging

    by Thinh Phan, Rebecca A. Rowland, Adrien Ponticorvo, Binh Cong Le, Seyed A. Sharif, Gordon T. Kennedy, Robert H. Wilson, Anthony J. Durkin

    Skin color is a major area of study in dermatology, and more broadly, renewed emphasis has recently been placed on identifying disparities in accuracy of clinical technologies such as pulse oximeters among patients with different skin tones.1 – 4 Pigmentation elements, such as melanin, hemoglobin, and carotenoids, selectively absorb light at specific wavelengths; the remainder of the light can be scattered back to the surface to be detected by the eye as a “skin color.” This detected “color” is a combination of the spectrum of the incident light, the specular and diffuse reflectance of the tissue, and the spectral response of the eye. Colorimetric measurements of the skin, which rely on diffusely backscattered light, can provide information about the relative amounts of these absorbing components in the skin. The use of skin colorimetry has been common for the past 50 years to characterize reactivity of normal skin to light (e.g., tanning and erythema) and to diagnose and monitor conditions, such as port-wine stain and skin cancer.2


  • Palestine 1917

    by Robert Henry Wilson, Helen D Millgate

    A personal account of all ranks of the Yeomanry regiment, by a soldier who served in Sinai, Palestine and Syria. The Yeomanry regiments were originally raised in 1794, as a part of the volunteer forces, it was administered by the Home Office until 1855 when the War Office took over. The Yeomanry is most part consisted of the 'Yeoman of England, with noblemen and gentlemen as officers'. Wilson often touches upon the daunting conditions which were the ever-present background to the campaigns in which he took part. A likeable and remarkable character of the old yeoman class, his letters and correspondence notes the elation, dejection, of tedium and anxiety of desert warfare.

  • Chapter 7

    by Robert Henry Wilson, Helen D Millgate

    October 31st was the date set for the renewed attack against Gaza but, for the Gloucester Hussars and Fifth Mounted Brigade the lull in the campaign ended with a move forward to Gamli – a point midway between Gaza and Beersheba – on 3rd October 1917. From Gamli front line patrols had several encounters with the enemy. On one of these occasions (16th October) Lieutenant Wilson’s troop ambushed a Turkish cavalry patrol and he was awarded the Military Cross for this action. The Fifth Mounted Brigade was in reserve when the general advance began on 31st October. Allenby’s 20th Corps of Infantry took Beersheba on schedule while the 21st Corps stormed the Gaza defences. The entire Desert Mounted Corps swept round to the north of Beersheba and spearheaded the pursuit along the coastal plain – taking Huj with what is considered to be the last cavalry charge engaged in by the British Army.