ArticleBiomedical optics express2019
Chromophore selective multi-wavelength photoacoustic remote sensing of unstained human tissues.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Deformable mirror-based photoacoustic remote sensing (PARS) microscopy for depth scanning.Biomedical optics express · 2022Article
- Label-free complete absorption microscopy using second generation photoacoustic remote sensing.Scientific reports · 2022Article
- High-speed photoacoustic microscopy: A review dedicated on light sources.Photoacoustics · 2021Article
- Multimodal 3D photoacoustic remote sensing and confocal fluorescence microscopy imaging.Journal of biomedical optics · 2021Article
- Three-dimensional virtual histology in unprocessed resected tissues with photoacoustic remote sensing (PARS) microscopy and optical coherence tomography (OCT).Scientific reports · 2021Article
- Single acquisition label-free histology-like imaging with dual-contrast photoacoustic remote sensing microscopy.Journal of biomedical optics · 2021Article
- Towards virtual biopsies of gastrointestinal tissues using photoacoustic remote sensing microscopy.Quantitative imaging in medicine and surgery · 2021Article
- Histopathology for Mohs micrographic surgery with photoacoustic remote sensing microscopy.Biomedical optics express · 2021Article
- Towards non-contact photoacoustic imaging [review].Photoacoustics · 2020Review
- Reflection-mode virtual histology using photoacoustic remote sensing microscopy.Scientific reports · 2020Article
- Improving maximal safe brain tumor resection with photoacoustic remote sensing microscopy.Scientific reports · 2020Article
- Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying positive surgical margins after resection of cancer often triggers re-excision and adjuvant treatments. Incomplete initial resections result in poorer patient outcomes, psychological and financial stress to the patient and increased healthcare costs. Surgical margins are typically assessed post-operatively using time consuming and expensive slide-based histopathology tissue analysis. Currently, a real-time non-contact virtual histology-like intraoperative margin assessment tool is not available. To address this need, we have developed a non-contact multi-wavelength reflection-mode, photoacoustic remote sensing (PARS) microscope demonstrating chromophore selective contrast in human tissues. We show the capabilities of multi-wavelength PARS microscopy utilizing both 266 nm and 532 nm excitation wavelengths and a 1310 nm detection wavelength. Cell nuclei and hemoglobin were visualized at the cellular scale without the addition of exogenous contrast agents. These works provide a critical step towards a virtual histology tool to provide intraoperative histology-like information in living tissue.
Identifiers
What OpenQuestion holds
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.