Our project development has been performed with parallel but complementary working teams, each of them and their subgroups having successfully completed the engineering cycle, which mainly consists of: design, build, test and learn. We can confirm that ARIA has passed through multiple engineering cycles several times, since after performing all the steps, we have obtained results in the form of a functional biological system or useful data.
The nature of an engineering cycle helped us realize what aspects of our project were lacking in accuracy and perhaps were not working as expected. When we initially debated what functions could be covered by our systems, we focused on the need for a fast, personalized, and reliable tool to assist medical decision-making. This led us to design three different components based on quite unique technologies.
Soon after we consolidated our project bases, the planning and building of each of the parts began. We had to materialize what seemed so easy with our heads. But thanks to a lot of research and the immeasurable help of our advisors we traced an action plan. Then testing the effectiveness of what we had created became a daily routine, and helped us to distinguish what worked as expected and what needed a little tweaking. And this is where we had to analyze what mistakes of our approaches had to be solved. A deeper understanding and re-design of each component lead us to iterate again on the engineering cycle, improving each time the capabilities of our systems (or hoping to do so).
Next, we display some of the most important engineering cycles (mouse over them and explore them in detail):
1. Lysis type: EDTA / no EDTA / Mechanical / autolysis
2. IPTG concentration: 100 µM / 10 µM for induction
3. Cells OD normalization
4. gRNAs for target recognition
5. Reporters for gRNA-Cas12a activity read-out
6. Detection sensitivity enhancement
6. Omega Architecture
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