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Microfabricated Devices for Bioengineering

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Csaba Forro

Csaba Forro

Stanford University

Dr. Csaba Forro is a Postdoctoral researcher in Biomedical Engineering with a focus on developing devices to interface brain tissue. With a background in theoretical physics acquired during his Master’s Degree at EPFL, he switched to experimental neuroscience for his PhD degree at ETH. He is currently on a Marie-Curie Postdoctoral Global Fellowship between Stanford University and Forschungszentrum Juelich. His main areas of interest involve uncovering the fundamental mechanisms of learning and memory in biological neural networks and develop novel electronics to extract better insights from neuronal activity. To do so, he leverages his computational expertise to fuse machine-learning and automated design to push boundaries of neural devices in terms of their biomimetism, compatibility with cell tissue, and gain orders of magnitude in bandwidth and signal quality. He joins JoVE to improve the sharing and reproducibility of fabrication methods for biomedical devices by leveraging the much richer video format as opposed to text-based protocols.

Collection Overview

Microfabricated devices have become foundational tools in modern bioengineering, enabling precise control over cellular microenvironments, spatiotemporal delivery of biochemical cues, and high-resolution interrogation of biological systems. Advances in soft lithography, 3D microprinting, nanofabrication, and hybrid material integration have accelerated the development of organ-on-chip platforms, microfluidic biosensors, implantable microsystems, bioMEMS, and lab-on-chip technologies for diagnostics, drug screening, tissue engineering, and regenerative medicine. As biological research increasingly demands physiologically relevant, scalable, and data-rich platforms, microfabricated systems are bridging engineering innovation with translational biomedical applications.


Despite remarkable progress, significant challenges remain. Reproducibility across laboratories, standardization of fabrication protocols, material biocompatibility, long-term device stability, and integration of multimodal sensing continue to limit broader adoption. Scaling prototypes to manufacturable and clinically compliant systems presents regulatory and engineering hurdles. Furthermore, coupling microdevices with advanced imaging, real-time analytics, artificial intelligence, and multi-omics workflows requires interdisciplinary optimization. Addressing variability in biological responses within microengineered environments also remains a critical scientific concern.


This Collection aims to provide a comprehensive platform for methods articles detailing diverse fabrication strategies; original research articles demonstrating novel device applications and validation studies, and review articles synthesizing emerging trends and translational pathways.


By integrating methodological rigor with experimental validation and reviews, this Collection will serve as a forward-looking resource that fosters standardization, encourages cross-disciplinary collaboration, and accelerates the translation of microfabricated bioengineering technologies from bench to bedside.

Articles

Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced <em>In Vivo</em> Imaging
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Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging

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2025

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Abstracts

The migration and adhesion of periosteal cells on cellular length scale stiffness patterns differ between harvest sites

Wei Ji*1

11. State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University

Microbial growth analysis at single-cell level under fluctuating oxygen environments in multilayer microfluidic device

Keitaro Kasahara1,

Johannes Seiffarth1,

Katharina Noeh1,

Dietrich Kohlheyer*1

1Forschungszentrum Juelich

AI enhanced early cancer detection using microfluidic device

Yifan Wang*1

1Texas Tech University