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Chen-Chi Chien

Researcher at University of Pennsylvania

Publications -  9
Citations -  334

Chen-Chi Chien is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Turbulence & Constant (mathematics). The author has an hindex of 6, co-authored 7 publications receiving 233 citations. Previous affiliations of Chen-Chi Chien include Wesleyan University.

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Measurement of DNA Translocation Dynamics in a Solid-State Nanopore at 100 ns Temporal Resolution

TL;DR: A complementary metal-oxide-semiconductor nanopore (CNP) amplifier capable of low noise recordings at an unprecedented 10 MHz bandwidth and an SNR of greater than 10 for ssDNA translocations at a measurement bandwidth of 5 MHz, which represents the fastest ion current recordings through nanopores reported to date.
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Single-Stranded DNA Translocation Recordings through Solid-State Nanopores on Glass Chips at 10 MHz Measurement Bandwidth.

TL;DR: This work demonstrates detection of translocation events as brief as 100 ns with a signal-to-noise ratio exceeding seven at a measurement bandwidth of 10 MHz, and shows that characteristic translocation rates are at least ten times faster than previously recorded.
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Suspended Solid-state Membranes on Glass Chips with Sub 1-pF Capacitance for Biomolecule Sensing Applications

TL;DR: An integrated fabrication process is devised to grow and define circular silicon nitride membranes on glass chips that successfully lower the chip capacitance to below 1 pF and makes use of this versatile, low-capacitance platform to suspend other thin, two-dimensional membrane such as graphene.
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Periodic Arrays of Phosphorene Nanopores as Antidot Lattices with Tunable Properties

TL;DR: This work fabricated antidot lattices with radii down to 13 nm in few-layer black phosphorus flakes protected by an oxide layer and observed suppression of the in-plane phonon modes relative to the unmodified material via Raman spectroscopy.
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Wavelet Denoising of High-Bandwidth Nanopore and Ion-Channel Signals.

TL;DR: Improvements to the SNR that can be achieved using wavelet denoising instead of Bessel filtering can be used to achieve robust statistical analyses of these recordings, which may provide important insights into nanopore translocation dynamics and mechanisms of ion channel function.