A Programmable CMOS DEP Chip for Cell Manipulation

This work presents a programmable CMOS DEP chip that allows real-time control over the spatial distribution of DEP force, enabling controlled cell movement on the chip surface, from single-cell manipulation to multi-cell patterning. Implemented on a standard 0.18 $\boldsymbol{\mu}$m CMOS process without post-processing, the chip features a 128 $\boldsymbol{\times}$ 128 array of individually controllable 10 $\boldsymbol{\mu}$m microelectrodes with 0.28 $\boldsymbol{\mu}$m spacing. Utilizing Metal 5 electrodes in a 1P6M process, the chip achieves particle manipulation speeds up to 27 $\boldsymbol{\mu}$m/s while operating at only 1.8 V, preserving cell viability as confirmed through post-DEP assessments. The implementation of time-sharing patterns enhances manipulation precision by creating distinct boundaries between phases. Experiments demonstrate the chip's capabilities in particle patterning, concentration control, and single-particle manipulation, all performed sequentially on the same chip. Additionally, stem cell aggregation control demonstration offers possibilities for future differentiation studies. With its reconfigurability, this DEP chip offers promising solutions to technical challenges in cell preparation, drug screening, and other biological applications.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Biomedical Circuits and Systems
Published
2024-12-10
DOI
https://doi.org/10.1109/tbcas.2024.3514874
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Programmable CMOS DEP Chip for Cell Manipulation

Wen-Yue Lin, Lin-Hung Lai, Chen‐Yi Lee, Yi-Wei Lin
IEEE Transactions on Biomedical Circuits and Systems
Microfluidic and Bio-sensing Technologies
article

A Programmable CMOS DEP Chip for Cell Manipulation

Wen-Yue Lin, Lin-Hung Lai, Chen‐Yi Lee, Yi-Wei Lin
article en

Abstract

This work presents a programmable CMOS DEP chip that allows real-time control over the spatial distribution of DEP force, enabling controlled cell movement on the chip surface, from single-cell manipulation to multi-cell patterning. Implemented on a standard 0.18 $\boldsymbol{\mu}$m CMOS process without post-processing, the chip features a 128 $\boldsymbol{\times}$ 128 array of individually controllable 10 $\boldsymbol{\mu}$m microelectrodes with 0.28 $\boldsymbol{\mu}$m spacing. Utilizing Metal 5 electrodes in a 1P6M process, the chip achieves particle manipulation speeds up to 27 $\boldsymbol{\mu}$m/s while operating at only 1.8 V, preserving cell viability as confirmed through post-DEP assessments. The implementation of time-sharing patterns enhances manipulation precision by creating distinct boundaries between phases. Experiments demonstrate the chip's capabilities in particle patterning, concentration control, and single-particle manipulation, all performed sequentially on the same chip. Additionally, stem cell aggregation control demonstration offers possibilities for future differentiation studies. With its reconfigurability, this DEP chip offers promising solutions to technical challenges in cell preparation, drug screening, and other biological applications.

IEEE Transactions on Biomedical Circuits and SystemsVol. 19(4)
National Yang Ming Chiao Tung University (TW)
Openalex Percentile: Top 79%
Microfluidic and Bio-sensing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Programmable CMOS DEP Chip for Cell Manipulation — Wen-Yue Lin, Lin-Hung Lai, et al. · IEEE Transactions on Biomedical Circuits and Systems (2024) | TGRS Research Map | TGRS