ArticleBiomedical optics express2015
In vivo cell characteristic extraction and identification by photoacoustic flow cytography.
Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review.Journal of biomedical optics · 2024Pooled it
- Multiscale confocal photoacoustic dermoscopy to evaluate skin health.Quantitative imaging in medicine and surgery · 2022Article
- Simultaneous acoustic and photoacoustic microfluidic flow cytometry for label-free analysis.Scientific reports · 2019Article
- Handheld Photoacoustic Microscopy Probe.Scientific reports · 2017Article
- In vivo label-free photoacoustic flow cytography and on-the-spot laser killing of single circulating melanoma cells.Scientific reports · 2016Article
- A practical guide to photoacoustic tomography in the life sciences.Nature methods · 2016Review
- Noninvasive and high-resolving photoacoustic dermoscopy of human skin.Biomedical optics express · 2016Article
- Photoacoustic Molecular Imaging: From Multiscale Biomedical Applications Towards Early-Stage Theranostics.Trends in biotechnology · 2016Review
- Multicolor multiphoton in vivo imaging flow cytometry.Optics express · 2016Article
- Toward in vivo biopsy of melanoma based on photoacoustic and ultrasound dual imaging with an integrated detector.Biomedical optics express · 2016Article
- Introduction to the novel techniques in microscopy feature issue.Biomedical optics express · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a photoacoustic flow cytography with fast cross-sectional (B-scan) imaging to precisely identify specific cells in vivo. The B-scan imaging speed of the system is up to 200 frame/s with a lateral resolution of 1.5 μm, which allows to dynamically image the flowing cells within the microvascular. The shape, size and photoacoustic intensity of the target cells are extracted from streaming images and integrated into a standard pattern to distinguish cell types. Circulating red blood cells and melanoma cells in blood vessels are simultaneously identified on melanoma-bearing mouse model. The results demonstrate that in vivo photoacoustic flow cytography can provide cells characteristics analysis and cell type's visual identification, which will be applied for noninvasively monitoring circulating tumor cells (CTCs) and analyzing hematologic diseases.
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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.