High resolution bioprinting of multi-component hydrogels.

Materials capable of directing cell fate by providing spatially-graded mechanical and biomolecular cues are critically important in the reconstitution of living matter. Herein, we report a multi-component inkjet bioprinting method that allows for spatially varying composition and network properties in cell-instructive glycosaminoglycan (GAG)-based biohybrid and pure poly(ethylene glycol) hydrogels with unprecedented (50 µm) resolution. The principle relies on the covalent crosslinking of different polymeric precursors through a very rapid bio-orthogonal Michael type addition scheme adjusted in ways to occur during the fusion of bio-ink droplets prior to and upon contact with the target. Exemplary data show that chemotactic molecular gradients produced by this approach within printed GAG-gels of defined zonal architecture can effectively direct migratory activity and morphogenesis of embedded human bone-marrow derived mesenchymal stem cells. The introduced methodology is expected to enable a new, holistic level of control over reductionistic tissue and organoid models.

MTrack: Automated Detection, Tracking, and Analysis of Dynamic Microtubules.

Microtubules are polar, dynamic filaments fundamental to many cellular processes. In vitro reconstitution approaches with purified tubulin are essential to elucidate different aspects of microtubule behavior. To date, deriving data from fluorescence microscopy images by manually creating and analyzing kymographs is still commonplace. Here, we present MTrack, implemented as a plug-in for the open-source platform Fiji, which automatically identifies and tracks dynamic microtubules with sub-pixel resolution using advanced objection recognition. MTrack provides automatic data interpretation yielding relevant parameters of microtubule dynamic instability together with population statistics. The application of our software produces unbiased and comparable quantitative datasets in a fully automated fashion. This helps the experimentalist to achieve higher reproducibility at higher throughput on a user-friendly platform. We use simulated data and real data to benchmark our algorithm and show that it reliably detects, tracks, and analyzes dynamic microtubules and achieves sub-pixel precision even at low signal-to-noise ratios.