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.
The U.S. Center for the Advancement of Science in Space (CASIS), in collaboration with the U.S. National Center for Advancing Translational Sciences (NCATS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB), plan to study organs-on-chips onboard the International Space Station-National Laboratory (ISS-NL). Data from this effort will contribute to research about microphysiological systems technologies. (more…)
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.
One particular area in which such advantages promise to have enduring and significant impact is cancer biology, thanks to pioneering work done in modelling cancerous disease processes. Metastasis-on-chip is one such advance. (more…)
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.
Microfluidics processes are truly multiphysics in nature, requiring a robust simulation tool to accurately capture all of the physics involved. Certain physics like surface tension become more prominent at the micro scales at which microfluidics processes work. Coupled to surface tension are other physics in play, such as electro-osmosis, electro-kinetics and visco-elasticity. In short, microfluidic simulations can be very complex. An accurate simulation tool can provide insights to the designer about the microfluidic device and help him develop a more efficient and better design. One such example is analyzing an acoustophoretic particle focusing device that removes a variety of objects from solutions in a microfluidic channel. The process is applicable to malignant cell removal, nanoparticle separation, and sequestration of suspended liquids. Another application is to understand the dynamics that govern the formation of lenses using fluids (optofluidics) in microfluidic channels. Optofluidics combines elements of optics and microfluidics and finds applications in biosensors, displays, lab-on-chip devices, molecular imaging and lenses.