We quickly learned that cells like to hang out inside of MAP scaffolds while they re-build tissue, and that got us thinking – if cells are spending time in the void space between the microparticles, then we should study this space to figure out the best design for promoting tissue repair. But studying the void space among packed particles is a complicated business, and we couldn’t help ourselves – we developed LOVAMAP to go above and beyond when it comes to MAP characterization.
You know what’s easier than spending hours in lab fabricating hydrogel microparticles? Pressing a button to simulate hydrogel microparticles. Ninjabyte Computing is equipped with state-of-the-art technology to bring our wildest MAP scaffold fantasies to life. By running LOVAMAP on simulated MAP scaffolds, we can learn more faster. This is why Ninjabyte Computing deserves its very own page here.
Reach out if you’d like some help sifting through the data. And if you use these numbers in your own research, a citation is all the thanks we need 🙂
Homogeneous, rigid spheres
Binary mixtures of rigid spheres, 40 + 100 µm
Binary mixtures of rigid spheres, 60 + 100 µm
Heterogeneous, rigid spheres