The application process for The Prototyping Grant 2019 has now been closed.

Archive for December, 2017

We Have Liftoff: Organs-on-Chips in Space

We Have Liftoff: Organs-on-Chips in Space

When British neuroscientists began developing brain organoids to study autism and schizophrenia some years ago, their colleague Dr. Martin Coath, of the University of Plymouth, publicly stated that they were fueling a crisis: “A human brain that was ‘fully working’ would be conscious, have hopes, dreams, feel pain, and would ask questions about what we were doing to it.”

Fears akin to Coath’s have trended ever since Mary Shelley wrote “Frankenstein” in 1818. While it is unlikely that organoids will be asking what we’re doing to them anytime soon, it is likely that they will be doing some space traveling. (more…)

Metastasis-on-Chip and the Future of Medical Microfluidics

Metastasis-on-Chip and the Future of Medical Microfluidics

Innovations in microfluidic modelling of the human body have enabled medical researchers to study pathology to a level of accuracy and efficiency that was previously unattainable.

These ‘disease-on-chip’ models build on previous advances in organ-on-chip technology, creating devices that can model disease processes specific to each modelled organ. Notable disease-on-chip innovations include Kambez Benam and colleagues’ model of human lung inflammation, and the device mimicking arterial thrombosis created by Pedro Costa and collaborators at the Universities of Twente and Utrecht. The key advantage of disease-on-chip technology over conventional disease models is that it facilitates assays that are both physiologically relevant and high-throughput. (more…)

Two Reasons to Integrate Simulations into Your Microfluidics Workflow, Now

Two Reasons to Integrate Simulations into Your Microfluidics Workflow, Now

Over the last two years, I have seen an increased interest in using simulation software to better understand microfluidics processes. The two most common and important reasons for considering integration of simulation software into microfluidics processes have been to reduce device cost and improve quality control. (more…)