IEICE TRANSACTIONS on Fundamentals
Making General Dilution Graphs Robust to Unbalanced-Split Errors on Digital Microfluidic Biochips
Summary :
Digital Microfluidic Biochips (DMFBs) can execute biochemical experiments very efficiently, and thus they are drawing attention recently. In biochemical experiments on a DMFB, “sample preparation” is an important task to generate a sample droplet with the desired concentration value. We merge/split droplets in a DMFB to perform sample preparation. When we split a droplet into two droplets, the split cannot be done evenly in some cases. By some unbalanced splits, the generated concentration value may have unacceptable errors. This paper shows that we can decrease the impact of errors caused by unbalanced splits if we duplicate some mixing nodes in a given dilution graph for most cases. We then propose an efficient method to transform a dilution graph in order to decrease the impact of errors caused by unbalanced splits. We also present a preliminary experimental result to show the potential of our method.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E106-A No.2 pp.97-105
- Publication Date
- 2023/02/01
- Publicized
- 2022/07/26
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2021EAP1174
- Type of Manuscript
- PAPER
- Category
- VLSI Design Technology and CAD
Authors
Ikuru YOSHIDA
Ritsumeikan University
Shigeru YAMASHITA
Ritsumeikan University
Keyword
Latest Issue
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Ikuru YOSHIDA, Shigeru YAMASHITA, "Making General Dilution Graphs Robust to Unbalanced-Split Errors on Digital Microfluidic Biochips" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 2, pp. 97-105, February 2023, doi: 10.1587/transfun.2021EAP1174.
Abstract: Digital Microfluidic Biochips (DMFBs) can execute biochemical experiments very efficiently, and thus they are drawing attention recently. In biochemical experiments on a DMFB, “sample preparation” is an important task to generate a sample droplet with the desired concentration value. We merge/split droplets in a DMFB to perform sample preparation. When we split a droplet into two droplets, the split cannot be done evenly in some cases. By some unbalanced splits, the generated concentration value may have unacceptable errors. This paper shows that we can decrease the impact of errors caused by unbalanced splits if we duplicate some mixing nodes in a given dilution graph for most cases. We then propose an efficient method to transform a dilution graph in order to decrease the impact of errors caused by unbalanced splits. We also present a preliminary experimental result to show the potential of our method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAP1174/_p
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@ARTICLE{e106-a_2_97,
author={Ikuru YOSHIDA, Shigeru YAMASHITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Making General Dilution Graphs Robust to Unbalanced-Split Errors on Digital Microfluidic Biochips},
year={2023},
volume={E106-A},
number={2},
pages={97-105},
abstract={Digital Microfluidic Biochips (DMFBs) can execute biochemical experiments very efficiently, and thus they are drawing attention recently. In biochemical experiments on a DMFB, “sample preparation” is an important task to generate a sample droplet with the desired concentration value. We merge/split droplets in a DMFB to perform sample preparation. When we split a droplet into two droplets, the split cannot be done evenly in some cases. By some unbalanced splits, the generated concentration value may have unacceptable errors. This paper shows that we can decrease the impact of errors caused by unbalanced splits if we duplicate some mixing nodes in a given dilution graph for most cases. We then propose an efficient method to transform a dilution graph in order to decrease the impact of errors caused by unbalanced splits. We also present a preliminary experimental result to show the potential of our method.},
keywords={},
doi={10.1587/transfun.2021EAP1174},
ISSN={1745-1337},
month={February},}
Copy
TY - JOUR
TI - Making General Dilution Graphs Robust to Unbalanced-Split Errors on Digital Microfluidic Biochips
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 97
EP - 105
AU - Ikuru YOSHIDA
AU - Shigeru YAMASHITA
PY - 2023
DO - 10.1587/transfun.2021EAP1174
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2023
AB - Digital Microfluidic Biochips (DMFBs) can execute biochemical experiments very efficiently, and thus they are drawing attention recently. In biochemical experiments on a DMFB, “sample preparation” is an important task to generate a sample droplet with the desired concentration value. We merge/split droplets in a DMFB to perform sample preparation. When we split a droplet into two droplets, the split cannot be done evenly in some cases. By some unbalanced splits, the generated concentration value may have unacceptable errors. This paper shows that we can decrease the impact of errors caused by unbalanced splits if we duplicate some mixing nodes in a given dilution graph for most cases. We then propose an efficient method to transform a dilution graph in order to decrease the impact of errors caused by unbalanced splits. We also present a preliminary experimental result to show the potential of our method.
ER -
English
