[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128279-en":3,"doc-seo-128279-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},128279,2336475104957,"Seraphina","https://ap-avatar.wpscdn.com/avatar/22000c4c6bd8a5076e1?x-image-process=image/resize,m_fixed,w_180,h_180&k=1787554080175789136",8,"Research & Report","Machine Learning Based Acoustic Manipulation of Particles and Droplets inside Microfluidic Devices - Academic Dissertation","This thesis introduces a novel approach to ultrasonically manipulate particles and droplets inside microfluidic devices using machine-learning-based control algorithms and bulk acoustic waves. Existing techniques typically rely on piezoelectric transducers driven at resonance or a limited set of harmonics, requiring careful chip design and accurate acoustic field modelling from calibration or simulations. Such dependencies become difficult with complex channel geometries or unexpected disturbances, and particle-tracking-based field modelling is hindered by clustering and focus issues. The study applies ε-greedy, UCB, and an AMA controller variant for 2D manipulation in two microfluidic chips, demonstrating online adaptation to sudden system changes.","KYRIACOS CHRYSANTHOS YIANNACOU  \nMachine Learning Based Acoustic  \nManipulation of Particles and Droplets inside Microfluidic Devices  \nTampere University Dissertations 1168  \nTampere University Dissertations 1168  \nKYRIACOS CHRYSANTHOS YIANNACOU  \nMachine Learning Based Acoustic Manipulation of Particles and Droplets inside Microfluidic Devices  \nACADEMIC DISSERTATION  \nTo be presented, with the permission of the Faculty of Medicine and Health Technology of Tampere University,  \nfor public discussion in the auditorium FA032 Pieni Sali 1 of the Festia building, Korkeakoulunkatu 8 , Tampere, on 7 February 2025, at 12 o’clock.  \nACADEMIC DISSERTATION  \nTampere University, Faculty of Medicine and Health Technology Finland  \nResponsible supervisor and Custos  \nPre-examiners  \nAssociate Professor Veikko Sariola Tampere University Finland  \nAssociate Professor  \nJ. Mark Meacham  \nWashington University in St. Louis USA  \nAssistant Professor Heikki Nieminen Aalto University Finland  \nOpponent Associate Professor  \nPer Augustsson Lund University Sweden  \nThe originality of this thesis has been checked using the Turnitin Originality Check service.  \nCopyright ©2025 author Cover design: Roihu Inc.  \nISBN 978-952-03-3768-1 (print)  \nISBN 978-952-03-3769-8 (pdf)  \nISSN 2489-9860 (print)  \nISSN 2490-0028 (pdf)  \n[http://urn.fi/URN:ISBN:978-952-03-3769-8](http://urn.fi/URN:ISBN:978-952-03-3769-8)  \nCarbon dioxide emissions from printing Tampere University dissertations have been compensated.  \nPunaMusta Oy – Yliopistopaino Joensuu 2025  \nPREFACE  \nThis work was performed during the period November 2019 to May 2024 in the Biomaterials and Robotics Group of the Faculty of Medicine and Health Technology at Tampere University. Working towards becoming a Doctor of Science (Technology), I have many times faced a lot of challenges and obstacles that at the time complicated the journey and made it challenging and not as straightforward as one would think, but at the end, those obstacles taught me valuable lessons and made the degree a fun experience.  \nIn this content, I would like to personally thank at very first my supervisor Assoc. Prof. Veikko Sariola. He has been my supervisor since my MSc thesis, and working with him and learning from him has been a true honor. It was a pleasure and my privilege to be able to complete my thesis under his supervision, with that I want to express my thankfulness and gratitude for his constant support, guidance, and supervision throughout this journey.  \nFurther, I would also like to thank the members of the follow up steering group, Prof. Pasi Kallio, and Assoc. Prof. Antti Vehkaoja for their valuable suggestions, motivation, and support.  \nFurthermore, I extend my gratitude to the funding bodies that have provided financial support for my thesis. Specifically, my appreciation goes to the Academy of Finland, Walter Ahlström Foundation, TES Foundation, Kone Foundation, and the Doctoral Programme in Medicine, Biosciences and Biomedical Engineering for their invaluable support during my doctoral studies.  \nMoreover, I wish to express my sincere gratitude to my colleagues and the members of our coffee room community. Dr. Vipul Sharma has been a great mentor throughout his tenure as a postdoctoral researcher, offering me unique perspectivesand methodologies in our projects and ensuring that I benefitted from engaging in a wide array of fields. I also extend my thanks to my colleagues Anastasia Koivikko, Mika Pihjamäki, Vilma Lampinen, and everyone in the coffee room for their camaraderie and support. Lastly, I am eternally grateful to my parents Maria and  \nAnthony Yiannacou for their unwavering support and encouragement, and to my dear wife Anastasiia Yiannacou, who has been a relentless source of support throughout my doctoral journey.  \nTampere, MAY 2024  \nABSTRACT  \nThis thesis introduces a novel approach to ultrasonically manipulate particles and droplets inside microfluidic devices using machine learning based","cbCaiip0gFn2Y5ko","https://ap.wps.com/l/cbCaiip0gFn2Y5ko","pdf",16627973,3,1,129,"English","en",105,"# Abstract\n# Preface\n## Research period and work setting\n## Supervision and acknowledgements\n## Funding and community support\n# Thesis Overview\n## Motivation and limitations of existing techniques\n## Proposed machine-learning control approach\n## Experimental setup and microfluidic chips\n## Algorithms studied for online adaptation","[{\"question\":\"What problem does the thesis address in microfluidic acoustic manipulation?\",\"answer\":\"It addresses the limitations of existing methods that depend on precise chip design and accurate acoustic field modelling, which becomes difficult with complex geometries, disturbances, and practical measurement challenges during experiments.\"},{\"question\":\"What control algorithms are investigated for 2D manipulation?\",\"answer\":\"The thesis studies ε-greedy, UCB, and a new variant called the acoustic model-based adaptive controller (AMA controller), designed to learn manipulation in an online manner.\"},{\"question\":\"How does the proposed approach handle sudden changes in the system?\",\"answer\":\"The algorithms adapt to sudden changes during operation, such as when an air bubble enters the manipulation chamber, while still enabling effective particle and droplet manipulation.\"}]","Machine Learning Based Acoustic Manipulation of Particles and Droplets inside Microfluidic Devices - Academic Dissertation | PDF",1785946503,325,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"machine-learning-based-acoustic-manipulation-of-particles-and-droplets-inside-microfluidic-devices-academic-dissertation","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,51],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":20},"https://docshare.wps.com/document/research-report/",{"item":52,"name":13,"@type":44,"position":53},"https://docshare.wps.com/document/machine-learning-based-acoustic-manipulation-of-particles-and-droplets-inside-microfluidic-devices-academic-dissertation/128279/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-27","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What problem does the thesis address in microfluidic acoustic manipulation?","Question",{"text":76,"@type":77},"It addresses the limitations of existing methods that depend on precise chip design and accurate acoustic field modelling, which becomes difficult with complex geometries, disturbances, and practical measurement challenges during experiments.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"What control algorithms are investigated for 2D manipulation?",{"text":81,"@type":77},"The thesis studies ε-greedy, UCB, and a new variant called the acoustic model-based adaptive controller (AMA controller), designed to learn manipulation in an online manner.",{"name":83,"@type":74,"acceptedAnswer":84},"How does the proposed approach handle sudden changes in the system?",{"text":85,"@type":77},"The algorithms adapt to sudden changes during operation, such as when an air bubble enters the manipulation chamber, while still enabling effective particle and droplet manipulation.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":47,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":47,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]