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Bhargab B. Bhattacharya

Researcher at Indian Statistical Institute

Publications -  16
Citations -  259

Bhargab B. Bhattacharya is an academic researcher from Indian Statistical Institute. The author has contributed to research in topics: Biochip & Digital microfluidics. The author has an hindex of 9, co-authored 16 publications receiving 212 citations. Previous affiliations of Bhargab B. Bhattacharya include Johannes Kepler University of Linz.

Papers
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Dilution and Mixing Algorithms for Flow-Based Microfluidic Biochips

TL;DR: The proposed satisfiability-based dilution algorithm outperforms existing dilution algorithms in terms of mixing steps and waste production, and compares favorably with respect to reagent-usage (cost) when 4- and 8-segment rotary mixers are used.
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Error-Correcting Sample Preparation with Cyberphysical Digital Microfluidic Lab-on-Chip

TL;DR: This article considers imprecise droplet mix-split operations and presents a novel roll-forward approach where the erroneous droplets are used in the error-recovery process, instead of being discarded or remixed.
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On-Chip Sample Preparation for Multiple Targets Using Digital Microfluidics

TL;DR: This paper presents an algorithmic solution for the problem of producing a set of different target droplets in a minimum number of mix-split steps, and satisfying a given upper bound in concentration error, and shows that the proposed technique outperforms existing methods in terms of the number of mixes, waste droplets, and reactant usage.
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Sample preparation with multiple dilutions on digital microfluidic biochips

TL;DR: A scheme to produce target droplets from a supply of an input sample and a buffer solution and results show a significant amount of savings in the number of mix-split steps and waste droplets in comparison to other methods for generating multiple concentration factors.
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Error-Oblivious Sample Preparation With Digital Microfluidic Lab-on-Chip

TL;DR: A new approach to accurate dilution preparation on a DMFB that is oblivious to volumetric split-errors, which does not need any sensor and can handle multiple split- errors, deterministically is proposed.