Say goodbye to manual scoring. Accelerate your bioink development and quality control.
Print quality is usually judged by looking at the construct. That judgement never leaves the person who made it, so two runs a month apart cannot honestly be compared.
Measuring a handful of features by hand takes longer than the print did, so most runs are never measured at all.
Two people scoring the same image disagree, and neither result carries the reasoning behind it.
Without a consistent measurement there is no baseline, so a process change can't be shown to have helped.
Automated printability analysis, both fast and complete. One segmentation of the construct, read every way below.
Detect anomalies.
Every measurement below comes from one ordinary photograph of the construct, returned as numbers the moment the image lands.
Width along the whole strand, not the one spot you happened to measure.
Direction changes are where deposition goes wrong first.
Lead-in and tail split from the core, so the core is measured on its own.
Helianthus is the Analyze step of Capitula. A measurement that stops at a screenshot is worth little; these land as structured data the rest of the platform can use.
Measurements attach to the build record alongside the parameters that produced them, so a result and its conditions stay together.
A quantitative quality score is what design-of-experiments needs to optimize against. Without it, the loop never closes.
Consistent measurements across many runs are the training data predictive models need before they can be trusted.
Helianthus is one of five modules. See the whole platform →
We're working with a small number of labs while it matures. If measuring your prints is a problem worth solving, tell us about your work.