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On-Chip Dilution from Multiple Concentrations
of a Sample Fluid Using Digital Microfluidics
Sudip Roy
1
, Bhargab B. Bhattacharya
2
,
Sarmishtha Ghoshal
3
, and Krishnendu Chakrabarty
4
1
Indian Institute of Technology Kharagpur, India
sudipr@cse.iitkgp.ernet.in
2
Indian Statistical Institute Kolkata, India
bhargab@isical.ac.in
3
Bengal Engineering and Science University, Howrah, India
sharmi.bhatta@gmail.com
4
Duke University, Durham, USA
krish@ee.duke.edu
Abstract.
Preparing a sample with a specified concentration factor (
CF
) is an
important step in automating biochemical laboratory protocols on a digital mi-
crofluidic biochip. In this paper, we address an open problem of sample prepa-
ration with a target
CF
in minimum number of mix/split steps when droplets of
the same fluid are supplied with multiple
CF
s. We formulate this as a variant
of the subset-sum problem and present a heuristic algorithm based on dynamic
programming.
Keywords:
Digital Microfluidics, Dilution, Mixing, Sample Preparation.
1
Introduction
A digital microfluidic (DMF) biochip is capable of manipulating nano- or pico-liter
volume of discrete droplets by electrical actuation, on a two-dimensional electrode ar-
ray of few square centimeters in size [1]. Recent years have seen a surge of interest
in design automation methods for developing DMFs because of their applicability in
implementing numerous biochemical laboratory protocols [1-4].
Automatic sample and mixture preparation is an important pre-processing step in
designing a biochemical protocol. Since off-chip sample preparation poses a signif-
icant hindrance to the automation of a bioprotocol for high-throughput applications,
several dilution and mixing algorithms have been proposed recently for on-chip sam-
ple preparation [5-15]. In this paper, we present, for the first time, a generalized dilu-
tion algorithm (
GDA
) for preparing a target droplet with a desired concentration factor
(
CF
), when two or more arbitrary
CFs
of the same fluid are supplied. We formulate
This work of S. Roy was supported by Microsoft Corporation and Microsoft Research In-
dia under the Microsoft Research India PhD Fellowship Award (2010-2014). The work of S.
Ghoshal was supported in part by the Department of Science & Technology (DST) Women
Scientists Scheme (WOS-A), 2009-2012. The work of K. Chakrabarty was supported in part
by the US National Science Foundation under grants CCF-0914895 and CNS-1135853.