Single Molecule Detection
Single Molecule Detection - Related Videos
08:53
Label-free Single Molecule Detection Using Microtoroid Optical Resonators
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Cited by 32 •
2015
We have developed a label-free biosensing system based on optical resonator technology known as Frequency Locking Optical Whispering Evanescent Resonator (FLOWER) that is capable of detecting single molecules in solution. Here the procedures behind this work are described and presented.
12:13
Single-Molecule Imaging of Nuclear Transport
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2010
Single molecule microscopy approch provided novel insights into nuclear transport.
06:59
Nanomanipulation of Single RNA Molecules by Optical Tweezers
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Cited by 13 •
2014
Optical tweezers have been used to study RNA folding by stretching individual molecules from their 5’ and 3’ ends. Here common procedures are described to synthesize RNA molecules for tweezing, calibration of the instrument, and methods to manipulate single molecules.
11:27
Studying DNA Looping by Single-Molecule FRET
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Cited by 13 •
2014
This study presents a detailed experimental procedure to measure looping dynamics of double-stranded DNA using single-molecule Fluorescence Resonance Energy Transfer (FRET). The protocol also describes how to extract the looping probability density called the J factor.
20:00
Single Molecule Fluorescence Microscopy on Planar Supported Bilayers
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Cited by 16 •
2015
Preparation of protein-functionalized planar glass-supported lipid bilayers, determination of protein mobility within and measurement of protein densities is shown here. A roadmap to building a noise-reduced Total Internal Reflection microscope is outlined, which allows visualizing single bilayer-resident fluorochromes with high spatiotemporal resolution.
FAQs
Single-molecule fluorescence and nanopore sensing translate molecular presence into different measurable signals. Fluorescence records light from labeled targets, whereas nanopore sensing detects changes in ionic current as molecules pass through a nanoscale pore. This distinction lets investigators choose an optical or electrical readout according to whether labeling or translocation through a pore best suits the measurement.
Resolving individual molecules exposes heterogeneity, meaning that molecules in the same sample may not behave identically. It can also capture transient events that disappear in an ensemble average, where signals from many molecules are combined. In bioengineering, this added resolution helps distinguish rare or short-lived molecular behaviors that bulk measurements could obscure.
Real-time observation is valuable because molecular interactions can be followed as they occur rather than inferred only from a final population measurement. Recording individual fluorescence signals or ionic-current changes can therefore connect a molecular event with its timing. That temporal information supports investigation of interactions and helps characterize dynamic behavior in engineered biological systems.
Applications span biomarker analysis, DNA and RNA characterization, and protein studies. The same single-molecule perspective can examine molecular interactions, so the approach is not limited to one biomolecule class. This breadth makes it relevant to bioengineering projects that need highly sensitive measurements across nucleic acids, proteins, or biologically important molecular markers.
In biosensor development, highly sensitive molecular signals can support devices designed to identify biomarkers or characterize biological targets. Diagnostic work can likewise benefit from measurements that preserve molecular heterogeneity instead of reducing a sample to one average response. These uses connect the technique's analytical sensitivity with efforts to build responsive biological measurement systems.
Single Molecule Detection contributes to engineered biological systems by providing measurements at the scale where molecular interactions and variable behaviors occur. Researchers can use fluorescence or nanopore-derived signals to examine DNA, RNA, proteins, or biomarkers within such systems. The resulting information can clarify system behavior when population-level measurements would conceal important differences between molecules.