pwoolf

4 ms·

1.
by pwoolf 7y ago
Yes, much like a Bloom filter, but instead of 2, it gives 3 output types: 1) not in set 2) possibly in set 3) in set Depending on the input (sample population), it is possible to get results with all 3 states. Origami Assay's decoder
2.
by pwoolf 7y ago
Welcome, I enjoy it too. And yes, multiplex designs are used in quite a few lab settings. Quality control in factory settings and all over the place in bioinformatics. And yes, you can overcome the false positives by retesting. The nice t
3.
by pwoolf 7y ago
True, dilution is a challenge but the assays used for COVID19 detection generally have a pretty wide dynamic range (3-5 orders of magnitude). The multiplex designs in Origami Assays mix between 4 (for S3) and 36 (for XL3) samples per well,
4.
by pwoolf 7y ago
The low positive rate is a constraint, but in practice we see that population screens are yielding between 0.5% and 4% positive rate, depending on the sampling population/scenario. There are many use cases where we expect a low positiv
5.
by pwoolf 7y ago
The interface has an encode/decode function that lets you explore different scenarios. For example for a small design (S3): https://www.smarterbetter.design/origamiassays/default/encod... Reliability is an i
6.
by pwoolf 7y ago
I'm the creator of Origami Assays and am happy to answer any questions. Screening for COVID19 is an urgent problem, but the infrastructure for running these assays is limited. While there are important efforts underway to make more te
7.
Origami Assays(smarterbetter.design)
18 points by pwoolf 7y ago|11 comments