Research Project: Suriyeli Göçmenlerde Çoklu-İlaç-Dirençli Tüberküloz Hastalığının Tanısı İçin Ucuz Maliyetli Hasta Başı Kullanıma Uygun Cihaz Gelişimi ve Doğrulaması
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Contributors
Funders
ID
TB.00535
Authors
Taşoğlu, Savaş
Faculty Member
Publications
Microneedle arrays integrated with microfluidic systems: Emerging applications and fluid flow modeling
(American Institute of Physics Inc., 2023) Ahmadpour, Abdollah; Taşoğlu, Savaş; Sarabi, Misagh Rezapour; Muradoğlu, Metin; Ural, Berk; İşgör, Pelin Kübra; Eren, Büşra Nimet; Department of Mechanical Engineering; KUTTAM (Koç University Research Center for Translational Medicine); KUAR (KU Arçelik Research Center for Creative Industries); Graduate School of Sciences and Engineering; KUIS AI (Koç University & İş Bank Artificial Intelligence Center); Yes; College of Engineering; GRADUATE SCHOOL OF SCIENCES AND ENGINEERING; Research Center
Microneedle arrays are patches of needles at micro- and nano-scale, which are competent and versatile technologies that have been merged with microfluidic systems to construct more capable devices for biomedical applications, such as drug delivery, wound healing, biosensing, and sampling body fluids. In this paper, several designs and applications are reviewed. In addition, modeling approaches used in microneedle designs for fluid flow and mass transfer are discussed, and the challenges are highlighted.
ML-automated microfluidic circuit design
(American Association for the Advancement of Science, 2026) Birtek, Mehmet Tuğrul; Choukri, Abdullah Ahmed; Taşoğlu, Savaş; Choukri, Abdullah Ahmed; Birtek, Mehmet Tuğrul; Ozcan, Aydogan; Department of Industrial Engineering; Department of Mechanical Engineering; KUTTAM (Koç University Research Center for Translational Medicine); KUIS AI (Koç University & İş Bank Artificial Intelligence Center); KUAR (KU Arçelik Research Center for Creative Industries); Yes; College of Engineering; Research Center
Microfluidics enable high-precision and cost-effective processing of biological and chemical substances. However, designing and fabricating microfluidic chips typically requires substantial expertise and numerous design iterations, posing considerable barriers to entry for nonexperts. We introduce mu FluidicGenius (mu FG), an open-access, machine learning (ML)-augmented design tool that enables nonexpert users to rapidly create functional microfluidic circuits. Users simply define the spatial placement of reservoirs, specify the channel connections between them, and assign desired flow rates through this layout. Leveraging a hybrid algorithmic framework that integrates ML models with mathematical modeling, mu FG automatically generates spatially coded maze structures that implement the precise fluidic resistances needed to meet the target flow distribution. These resistive elements are optimized to fit within the available geometry and can reproduce complex flow profiles, such as physiologically relevant flow rates in multi-organ-on-chip platforms. The resulting microfluidic designs are directly exportable for three-dimensional printing. Experimental validation demonstrates that mu FG-generated circuits reproduce target flow distributions with 90% accuracy. By streamlining and automating microfluidic circuit creation, mu FG not only lowers the barrier to entry for nonexperts but also showcases a principled and efficient application of ML to fluidic system design, enabling rapid and customizable development of complex microfluidic architectures.
CRISPR-on-chip for point-of-care diagnostics
(American Chemical Society, 2026) Atçeken, Nazente; Yığcı, Defne; Taşoğlu, Savaş; Kahya, Alptekin; KUTTAM (Koç University Research Center for Translational Medicine); KUIS AI (Koç University & İş Bank Artificial Intelligence Center); Department of Mechanical Engineering; School of Medicine; KUAR (KU Arçelik Research Center for Creative Industries); Graduate School of Sciences and Engineering; Yes; Research Center; College of Engineering; SCHOOL OF MEDICINE; GRADUATE SCHOOL OF SCIENCES AND ENGINEERING; Yığcı, Defne
CRISPR-based diagnostic platforms have gained significant momentum in recent years, enabling highly sensitive and specific detection of pathogens and diseases. Due to their practical benefits, these platforms have become widely adopted in point-of-care (PoC) applications. CRISPR-on-chip technology integrates CRISPR-Cas platforms with diverse microfluidic systems, allowing scalability and portable, real-time, and precise biomolecule detection. This approach enhances diagnostic accuracy, reduces processing times, and minimizes the need for complex laboratory infrastructures, unlike in conventional diagnostics. Using CRISPR-Cas enzymes in microfluidic systems, CRISPR-on-chip platforms offer key advantages such as single-molecule sensitivity, multiplex detection, and applicability. However, integration with microfluidics for PoC applications is still poorly understood, despite CRISPR-Cas being widely used. This study reviews recent developments in CRISPR-on-chip-based diagnostics and highlights its potential applications in infectious diseases, biosensors, and personalized medicine. Furthermore, challenges and future perspectives in achieving an ideal diagnostic solution are discussed.
Disposable paper-based microfluidics for fertility testing
(Elsevier, 2022) Ata, Mustafa Barış; Sarabi, Misagh Rezapour; Taşoğlu, Savaş; Yığcı, Defne; Alseed, M. Munzer; Mathyk, Begüm Aydoğan; Halıcıgil, Cihan; Department of Mechanical Engineering; Graduate School of Sciences and Engineering; KUAR (KU Arçelik Research Center for Creative Industries); KUIS AI (Koç University & İş Bank Artificial Intelligence Center); KUTTAM (Koç University Research Center for Translational Medicine); School of Medicine; Yes; College of Engineering; GRADUATE SCHOOL OF SCIENCES AND ENGINEERING; Research Center; SCHOOL OF MEDICINE
Fifteen percent of couples of reproductive age suffer frominfertility globally and the burden of infertility disproportionately impacts residents of developing countries. Assisted reproductive technologies (ARTs), including in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI), have been successful in overcoming various reasons for infertility including borderline and severe male factor infertility which consists of 20%-30% of all infertile cases. Approximately half of male infertility cases stem from suboptimal sperm parameters. Therefore, healthy/normal sperm enrichment and sorting remains crucial in advancing reproductive medicine. Microfluidic technologies have emerged as promising tools to develop in- home rapid fertility tests and point-of-care (POC) diagnostic tools. Here, we review advancements in fabrication methods for paper-based-microfluidic devices and their emerging fertility testing applications assessing sperm concentration, sperm motility, sperm DNA analysis, and other sperm functionalities, and provide a glimpse into future directions for paper-based fertility microfluidic systems.
3D-printed microrobots: translational challenges
(MDPI, 2023) Taşoğlu, Savaş; Karagöz, Ahmet Agah; Sarabi, Misagh Rezapour; Yetisen, Ali K.; KUTTAM (Koç University Research Center for Translational Medicine); Department of Mechanical Engineering; KUAR (KU Arçelik Research Center for Creative Industries); KUIS AI (Koç University & İş Bank Artificial Intelligence Center); Graduate School of Sciences and Engineering; Yes; College of Engineering; GRADUATE SCHOOL OF SCIENCES AND ENGINEERING; Research Center
The science of microrobots is accelerating towards the creation of new functionalities for biomedical applications such as targeted delivery of agents, surgical procedures, tracking and imaging, and sensing. Using magnetic properties to control the motion of microrobots for these applications is emerging. Here, 3D printing methods are introduced for the fabrication of microrobots and their future perspectives are discussed to elucidate the path for enabling their clinical translation.
