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TOPICAL COLLECTIONS

Multimodal Microfluidics for Advancing Therapeutics and Diagnostics
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Guest Editor

Bushra Tasadduq

Bushra Tasadduq

Bio-Techne

Bushra Tasadduq, PhD, is a multidisciplinary engineer specializing in microfluidic technologies for molecular and cellular diagnostics. She earned her PhD in electrical and computer engineering and MS in Mechanical Engineering from the Georgia Institute of Technology, where she developed high‑throughput multimodal microfluidic platforms for blood and immune‑cell analysis. Her industry work spans the invention and commercialization of diagnostic consumables, magnetic and size‑based sorting systems, molecular‑adhesion microfluidics, and integrated imaging and automation for translational oncology and immunology applications. As a staff engineer at Bio‑Techne, Dr. Tasadduq leads innovation in molecular diagnostic instrumentation, advancing sensitivity, throughput, and workflow automation across next‑generation analytical platforms.

Collection Overview

Multimodal microfluidic technologies are rapidly transforming biomedical research by enabling integrated, high‑precision manipulation of cells, biomolecules, and therapeutic agents within microscale environments, supporting applications that span diagnostics, drug discovery, disease modeling, and personalized medicine. By combining active methods such as electrical, magnetic, acoustic, optical, and thermal control with passive mechanisms based on channel geometry, hydrodynamics, capillary flow, viscosity, and inertial effects, these systems provide versatile platforms capable of performing complex workflows, including sample preparation, separation, concentration, detection, screening, and monitoring, within compact, scalable devices. Each modality presents unique operational ranges, sensitivities, integration challenges, and application constraints that can make it difficult for researchers outside the microfluidics community to select the most suitable approach for a given diagnostic or therapeutic need.


Therefore, this Methods Collection seeks submissions that detail the development, optimization, benchmarking, and translational application of multimodal microfluidic systems, including hybrid active–passive platforms, organ‑on‑chip models, wearable or implantable diagnostic devices, high‑throughput screening technologies, AI‑enhanced autonomous microsystems, and industrial case studies, with the overarching goal of providing comprehensive methodological guidance that enables researchers, clinicians, and industry partners to adopt, evaluate, and advance multimodal microfluidics toward more precise, efficient, and clinically relevant biomedical innovations.

Articles

Ultrasound-Controlled Blood-Brain Barrier (BBB) Opening in a BBB-Glioblastoma Microfluidic Chip for Drug Delivery Studies

Ultrasound-Controlled Blood-Brain Barrier (BBB) Opening in a BBB-Glioblastoma Microfluidic Chip for Drug Delivery Studies

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2026

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Abstracts

Optimization of DLP 3D-Printed Resin Molds for Reproducible PDMS-Based Organ-on-a-Chip Fabrication

Audrey Birdwell1,

Zihan Xian2,

Blass Watson3,

Wenjing Zhang*4

1Department of Pathology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA.,

2College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA.,

3Watson Advanced Solutions,

4Department of Pathology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States Center for Cancer Research, University of Tennessee Health Science Center, Memphis, TN, United States

Mimicking aerosolised drug exposure to nasal mucosa on a chip to monitor barrier integrity in real-time

Hanieh Gholizadeh1

1Woolcock Institute of Medical Research

Design and Numerical Simulation Analysis of a Four Leaf microfluidic chip and Five Pointed Star microfluidic chip for Efficient Separation of CTCs

Hongmei Chen*1,

Fei He1,

Shouao Chen1,

Guosheng Peng*1

1School of Mathematics and Physics of Science and Engineering, Anhui University of Technology, Maanshan 243002, China