ArticleJournal of biomedical optics2015
Monte Carlo investigation on quantifying the retinal pigment epithelium melanin concentration by photoacoustic ophthalmoscopy.
Article in Journal of biomedical optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 22 citations in OpenAlex.
- Photoacoustic Imaging for Women's Gynecological Health: Advances and Clinical Prospects.Bioengineering (Basel, Switzerland) · 2026Review
- A simulation study of fluorescein attenuation and dynamic tracer kinetic model-extracted retinal blood flow from human retinal fluorescein videoangiographies.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- 4D spectral-spatial computational photoacoustic dermoscopy.Photoacoustics · 2023Article
- Niche preclinical and clinical applications of photoacoustic imaging with endogenous contrast.Photoacoustics · 2023Review
- Monte-Carlo simulation and tissue-phantom model for validation of ocular oximetry.Biomedical optics express · 2022Article
- Retinal safety evaluation of photoacoustic microscopy.Experimental eye research · 2021Article
- The influence of morphological distribution of melanin on parameter selection in laser thermotherapy for vascular skin diseases.Lasers in medical science · 2020Article
- Hyperspectral optical coherence tomography for in vivo visualization of melanin in the retinal pigment epithelium.Journal of biophotonics · 2019Article
- Imaging retinal melanin: a review of current technologies.Journal of biological engineering · 2018Review
- Visible-light optical coherence tomography: a review.Journal of biomedical optics · 2017Review
- Quantifying melanin concentration in retinal pigment epithelium using broadband photoacoustic microscopy.Biomedical optics express · 2017Article
- The Effect of Retinal Melanin on Optical Coherence Tomography Images.Translational vision science & technology · 2017Article
- Retinal oximetry in humans using visible-light optical coherence tomography [Invited].Biomedical optics express · 2017Article
- Single all-fiber-based nanosecond-pulsed supercontinuum source for multispectral photoacoustic microscopy and optical coherence tomography.Optics letters · 2016Article
- Noninvasive and high-resolving photoacoustic dermoscopy of human skin.Biomedical optics express · 2016Article
- Dual-band optical coherence tomography using a single supercontinuum laser source.Journal of biomedical optics · 2016Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The retinal pigment epithelium (RPE) melanin plays an important role in maintaining normal visual functions. A decrease in the RPE melanin concentration with aging is believed to be associated with several blinding diseases, including age-related macular degeneration. Quantifying the RPE melanin noninvasively is therefore important in evaluating the retinal health and aging conditions. Photoacoustic ophthalmoscopy (PAOM), as an optical absorption-based imaging technology, can potentially be applied to measure variations in the RPE melanin if the relationship between the detected photoacoustic (PA) signal amplitudes and the RPE melanin concentrations can be established. In this work, we tested the feasibility of using PA signals from retinal blood vessels as references to measure RPE melanin variation using Monte Carlo (MC) simulation. The influences from PAOM axial resolution, the depth and diameter of the retinal blood vessel, and the RPE thickness were examined. We proposed a calibration scheme by relating detected PA signals to the RPE melanin concentrations, and we found that the scheme is robust to these tested parameters. This study suggests that PAOM has the capability of quantitatively measuring the RPE melanin in vivo.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.