Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117543
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dc.contributorDepartment of Applied Biology and Chemical Technology-
dc.creatorWang, Ren_US
dc.creatorLiu, Qen_US
dc.creatorZhao, Xen_US
dc.creatorLee, WNen_US
dc.date.accessioned2026-02-26T03:46:45Z-
dc.date.available2026-02-26T03:46:45Z-
dc.identifier.issn0031-9155en_US
dc.identifier.urihttp://hdl.handle.net/10397/117543-
dc.language.isoenen_US
dc.publisherInstitute of Physics Publishing Ltd.en_US
dc.rights© 2025 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltden_US
dc.rightsOriginal content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.en_US
dc.rightsThe following publication Wang, R., Liu, Q., Zhao, X., & Lee, W.-N. (2025). Versatile vasculature chips for ultrasound localization microscopy. Physics in Medicine & Biology, 70(21), 21LT01 is available at https://doi.org/10.1088/1361-6560/ae11f6.en_US
dc.subjectMicrobubbleen_US
dc.subjectMicrovasculatureen_US
dc.subjectOrgan-on-a-chipen_US
dc.subjectSuper-resolution imagingen_US
dc.subjectUltrasounden_US
dc.titleVersatile vasculature chips for ultrasound localization microscopyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume70en_US
dc.identifier.issue21en_US
dc.identifier.doi10.1088/1361-6560/ae11f6en_US
dcterms.abstractObjective. Ultrasound localization microscopy (ULM) has revolutionized microvasculature imaging by surpassing the diffraction limit via microbubbles. While ULM demonstrates exceptional potential to resolve micron-scale vascular structures in both preclinical and clinical studies, its performance evaluation remains challenging primarily due to the lack of reference microvascular phantoms featuring realistic, micron-scale, and hierarchical vascular structures. This study thus aims to develop a fabrication protocol for microvasculature patterns that offers design versatility and enables on-demand customization.-
dcterms.abstractApproach. Inspired by microfluidic chip techniques, we present an organ-on-a-chip protocol for fabricating agarose-based micro-vessel network phantoms with ground truth. We experimentally demonstrated the feasibility of the vasculature phantom using two adapted patterns: (1) a leaf pattern, which exhibited intrinsic quasi-two-dimensional venation network with hierarchical and branching channels similar to animal vasculature, and (2) a kidney pattern derived from a two-dimensional projection of real human vasculature obtained via micro computed tomography. Microbubble solutions were perfused into the phantoms by capillary force and gravity.-
dcterms.abstractMain results. The ULM-reconstructed vasculature maps agreed well with the ground truth. ULM achieved high sensitivity values of 0.97 and 0.95, but low precision values of 0.37 and 0.60, for the leaf and kidney phantom, respectively. The results indicated the capability of ULM to reconstruct vessel structures while making many false positive predictions.-
dcterms.abstractSignificance. The proposed protocol provides a versatile platform for creating realistic microvascular phantoms, facilitating the development, evaluation, and optimization of ultrasound microvascular imaging techniques.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPhysics in medicine and biology, 2 Nov. 2025, v. 70, no. 21, 21LT01en_US
dcterms.isPartOfPhysics in medicine and biologyen_US
dcterms.issued2025-11-02-
dc.identifier.scopus2-s2.0-105019100118-
dc.identifier.pmid41072444-
dc.identifier.eissn1361-6560en_US
dc.identifier.artn21LT01en_US
dc.description.validate202602 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextRenxian Wang is supported by ACCESS—AI Chip Center for Emerging Smart Systems, sponsored by the InnoHK initiative of the Innovation and Technology Commission of the Hong Kong Special Administrative Region Government. This work was in part supported by Collaborative Research with World-leading Research Groups from The Hong Kong Polytechnic University (P0039523) and Hong Kong Research Grants Council Theme-based Research Scheme (T46-705/23-R).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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