S
Sukanta Bhattacharjee
Researcher at Indian Institute of Technology Guwahati
Publications - 38
Citations - 388
Sukanta Bhattacharjee is an academic researcher from Indian Institute of Technology Guwahati. The author has contributed to research in topics: Biochip & Computer science. The author has an hindex of 10, co-authored 34 publications receiving 297 citations. Previous affiliations of Sukanta Bhattacharjee include Indian Statistical Institute & New York University.
Papers
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Journal ArticleDOI
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.
Journal ArticleDOI
On-Chip Sample Preparation for Multiple Targets Using Digital Microfluidics
Debasis Mitra,Sudip Roy,Sukanta Bhattacharjee,Krishnendu Chakrabarty,Bhargab B. Bhattacharya +4 more
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.
Proceedings ArticleDOI
Locking of biochemical assays for digital microfluidic biochips
TL;DR: This work proposes to “lock” biochemical assays through random insertion of dummy mix-split operations, subject to several design rules, and experimentally evaluates the proposed locking mechanism, and shows how a high level of protection can be achieved even on bioassays with low complexity.
Journal ArticleDOI
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.
Proceedings ArticleDOI
On Producing Linear Dilution Gradient of a Sample with a Digital Microfluidic Biochip
Sukanta Bhattacharjee,Ansuman Banerjee,Tsung-Yi Ho,Krishnendu Chakrabarty,Bhargab B. Bhattacharya +4 more
TL;DR: This work presents an algorithm to generate any arbitrary linear gradient, on-chip, with minimum wastage, while satisfying a required accuracy in concentration factors, and Simulation results on different linear gradients show a significant improvement in sample cost over three earlier algorithms used for the generation of multiple concentrations.