What is it about?

In this work, we developed an error-correcting strategy for sample preparation in a Microfluidic Lab-on-chip platform which corrects the effect of volumetric split errors to the target CF by performing additional action in a mirror path along with the original path using the erroneous droplets. Whereas, earlier works on error-recoverability performs error-recovery operations starting from the previous checkpoint based on the assumption that all recovery operations are devoid of any kind of errors.

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Why is it important?

Almost all prior work on error recover- ability used a checkpointing-based rollback approach, i.e., re-execution of certain portion of the protocol starting from the previous checkpoint. Unfortunately, such techniques are expensive both in terms of assay-completion time and reagent cost, and can never ensure full error-recovery in a deterministic sense. We have proposed the first online error- correcting scheme for sample preparation, which is resilient to multiple volumetric split-errors and the the effects of such errors are mutually canceled at the target by adopting a novel roll-forward strategy.

Perspectives

Proposed work guaranteed the correctness of the produced target CFs in a deterministic sense. However, prior roll-back based error-recovery works fails to ensure the correctness of the generated target CFs in a deterministic sense.

Sudip Poddar

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This page is a summary of: Error-Correcting Sample Preparation with Cyberphysical Digital Microfluidic Lab-on-Chip, ACM Transactions on Design Automation of Electronic Systems, December 2016, ACM (Association for Computing Machinery),
DOI: 10.1145/2898999.
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