Biodegradable Acoustic Microrobots for Imaging-Guided Rapid Thrombotic Lesion Reperfusion

Biodegradable Acoustic Microrobots for Imaging-Guided Rapid Thrombotic Lesion Reperfusion | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Physical Sciences - Article Biodegradable Acoustic Microrobots for Imaging-Guided Rapid Thrombotic Lesion Reperfusion Paul Wrede, Dong Wook Kim, Jeanne Droux, Héctor Estrada, Enea Blanco, and 9 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8411344/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract Thrombotic lesions are a leading cause of death and disability worldwide, yet existing thrombolytic therapies suffer from limited efficacy and high risk of hemorrhagic complications. We present a biodegradable microrobotic system composed of hydroxyapatite nanoflower microrobots (HAp-MRs) designed for targeted drug delivery and recanalization via concurrent acoustic actuation and real-time optoacoustic imaging feedback. We demonstrate active steering and precise control of HAp-MRs in the murine brain vasculature in vivo via an open-loop control interface and achieve targeted drug delivery and improved clot dissolution within seconds potentially saving billions of synapses and millions of neurons. We further show successful image-guided navigation and acoustic trapping through a human skull bone ex vivo. These results establish a fully integrated microrobotic platform for minimally invasive neurovascular interventions, offering a potential adjunct to catheter-based thrombectomy for inaccessible or treatment-resistant thrombotic lesions. Physical sciences/Engineering/Biomedical engineering Health sciences/Health care/Therapeutics/Drug therapy/Drug delivery Health sciences/Diseases/Cardiovascular diseases/Vascular diseases/Thrombosis Physical sciences/Physics/Applied physics/Acoustics Physical sciences/Materials science Full Text Additional Declarations There is NO Competing Interest. Supplementary Files ToxicityAssayReportPW.pdf Extended Data 1 StrokePaperSupplementaryFiguresNatureSubmission.docx Manuscript_Biodegradable Acoustic Microrobots for Imaging-Guided Rapid Thrombotic Lesion Reperfusion Videos.zip Supplementary Videos_ 1-4_Biodegradable Acoustic Microrobots for Imaging-Guided Rapid Thrombotic Lesion Reperfusion Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8411344","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Physical Sciences - Article","associatedPublications":[],"authors":[{"id":570862064,"identity":"cd591a60-db41-4994-a20b-4d5da314624a","order_by":0,"name":"Paul Wrede","email":"","orcid":"","institution":"ETH Zurich","correspondingAuthor":false,"prefix":"","firstName":"Paul","middleName":"","lastName":"Wrede","suffix":""},{"id":570862065,"identity":"d5a47e11-5ad6-4ff7-91af-f0eb0002bab5","order_by":1,"name":"Dong Wook Kim","email":"","orcid":"","institution":"Max Planck Institute for Intelligent Systems 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