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Solid-state electronics and single-molecule biophysics

Authors: Ken Shepard;

Solid-state electronics and single-molecule biophysics

Abstract

Biomolecular systems are traditionally studied using ensemble measurements and fluorescence-based detection. Among the most common in vitro applications are DNA microarrays to identify target gene expression profiles [1] and enzyme-linked immunosorbent assays (ELISA) to identify proteins [2]. While much can be determined with ensemble measurements, scientific and technological interest is rapidly moving to single-molecule techniques. When probing at the single-molecule level, observations can be made about the inter- and intramolecular dynamics that are usually hidden in ensemble measurements. In molecular diagnostic, single-molecule techniques often do not require amplification and simplify sample preparation. The most popular single-molecule techniques based on fluorescence [3, 4] are fundamentally limited in resolution and bandwidth by the countable number of photons emitted by a single fluorophore (typically on the order of 2500 photons/sec). Instrumentation is complex, expensive, and large-formfactor. Furthermore, most optical probes photobleach, limiting observation times and pump powers. Single-molecule measurements of the kinetics of fast biomolecular processes are often unavailable through fluorescent techniques, as they lack the required temporal resolution.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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