ArticleOptics letters2022
Scanning interferometric near-infrared spectroscopy.
Article in Optics letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- CoMind R1: a time-resolved interferometric optical neuromonitoring system for pulsatile cerebral blood flow measurement at late times-of-flight.Neurophotonics · 2026Article
- Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements.Journal of biomedical optics · 2025Article
- 1060 nm interferometric near-infrared spectroscopy.Optics letters · 2025Article
- Interferometric near-infrared spectroscopy (iNIRS) reveals that blood flow index depends on wavelength.Biomedical optics express · 2024Article
- Article
- Interferometric diffusing wave spectroscopy imaging with an electronically variable time-of-flight filter.Optica · 2023Article
- Interferometric diffuse optics: recent advances and future outlook.Neurophotonics · 2023Article
- Psychedelics and fNIRS neuroimaging: exploring new opportunities.Neurophotonics · 2023Article
- High-density diffuse correlation tomography with enhanced depth localization and minimal surface artefacts.Biomedical optics express · 2022Article
- Pathlength-selective, interferometric diffuse correlation spectroscopy.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics SocietyArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
In diffuse optics, quantitative assessment of the human brain is confounded by the skull and scalp. To better understand these superficial tissues, we advance interferometric near-infrared spectroscopy (iNIRS) to form images of the human superficial forehead blood flow index (BFI). We present a null source-collector (S-C) polarization splitting approach that enables galvanometer scanning and eliminates unwanted backscattered light. Images show an order-of-magnitude heterogeneity in superficial dynamics, implying an order-of-magnitude heterogeneity in brain specificity, depending on forehead location. Along the time-of-flight dimension, autocorrelation decay rates support a three-layer model with increasing BFI from the skull to the scalp to the brain. By accurately characterizing superficial tissues, this approach can help improve specificity for the human brain.
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Registered trials
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