New book chapter · Academic Press

Microfluidic Platforms for Body-on-a-Chip Systems

Conceptual illustration of connected microfluidic chips containing a membrane-based tissue layer, a hydrogel scaffold and an organoid, with a flexible sensor ribbon.
AI-generated conceptual illustration; not an experimental image or a figure from the book chapter.

Small channels, big questions

Ken-ichiro Kamei has coauthored “Recent trends in microfluidic platforms for body-on-a-chip systems” with Kanako Matsumoto, Yukiko T. Matsunaga, Min Park, and Shuichi Takayama. The chapter is part of Body-on-a-Chip: Essentials and Applications, published by Academic Press.

Microfluidic platforms use tiny channels to guide fluids around living tissues. They help researchers create controlled environments for studying how tissues function and interact.

What the chapter explores

The chapter brings together technical overviews and insights from small-group discussions. It examines established chip designs and emerging approaches, including:

  • Compartmentalized channels, porous membranes, and patterned hydrogels.
  • Organoids, 3D bioprinting, and flexible electronics.
  • Connecting organs and sensors while addressing scale and throughput.
  • Balancing standardized validation with room for new platform designs.

It also considers inspiration from nature, conservation, and other fields for future microphysiological systems.

Why this matters

Body-on-a-chip research is about more than making smaller devices: it asks how engineered environments can help us investigate living systems. This chapter offers an accessible route into the design choices and open questions behind that goal.

It is a technical overview and discussion-based contribution, not a report of a completed clinical device.

Read the chapter

Recent trends in microfluidic platforms for body-on-a-chip systems

Kenichiro Kamei, Kanako Matsumoto, Yukiko T. Matsunaga, Min Park, and Shuichi Takayama

Body-on-a-Chip: Essentials and Applications, Chapter 4, pp. 41–49. Academic Press (2027).
DOI: 10.1016/B978-0-443-16110-0.00030-3

ScienceDirect lists the chapter as available online on 23 October 2026, with a bibliographic publication year of 2027. Full-text access may require an institutional subscription or purchase.

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Ken

Principle investigator Associate Professor