Optical Control
Optical Control - Related Videos
10:16
Optical Control of Living Cells Electrical Activity by Conjugated Polymers
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Cited by 6 •
2016
A method for stimulation of in-vitro cell cultures electrical activity with visible light, based on the use of organic semiconducting polymers is described.
08:31
Three-dimensional Optical-resolution Photoacoustic Microscopy
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Cited by 27 •
2011
Optical-resolution photoacoustic microscopy (OR-PAM) is an emerging technology capable of imaging optical absorption contrasts in vivo with cellular resolution and sensitivity. Here, we provide a visualized instruction on the experimental protocols of OR-PAM, including system configuration, system alignment, typical in vivo experimental procedures, and functional imaging schemes.
08:20
Optical Control of a Neuronal Protein Using a Genetically Encoded Unnatural Amino Acid in Neurons
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Cited by 6 •
2016
Here, a procedure to selectively activate a neuronal protein with a short pulse of light by genetically encoding a photo-reactive unnatural amino acid into a target neuronal protein expressed in neurons in culture or in vivo is presented.
09:39
Optical Biosensing
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2023
Optical biosensors utilize light to detect the binding of a target molecule. These sensors can utilize a label molecule, which produces a measurable signal such as fluorescence, or these sensors can be label-free and use the changes in optical properties, such as refractive index, to sense for the binding of the target molecule. This video introduces both label and label-free optical biosensors, demonstrates their use in the laboratory, and shows some applications of the technology.
13:39
Optical Trapping of Nanoparticles
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Cited by 7 •
2013
The following setup approach details low power optical trapping of dielectric nanoparticles using a double-nanohole in metal film.
FAQs
These optical properties provide separate ways to tune how photons interact with a target system. Adjusting them can change electronic, mechanical, thermal, or material states, allowing engineers to select the type and timing of a response. Using several parameters together increases control over systems that require precise, rapid, or spatially localized operation.
Feedback connects the observed behavior of a system with later adjustments to the optical input. A controller can use information from the system to refine variables such as intensity, timing, phase, or wavelength rather than relying only on a fixed setting. This supports more precise regulation and helps optical systems operate reliably in automated engineering processes.
Its main distinction is that regulation can occur without direct mechanical contact. Light can provide high-speed, spatially precise control while avoiding physical mechanisms that must touch or move the target. These characteristics are especially useful for compact devices, microscale actuation, and processes where contact could interfere with the system being manipulated.
An engineering workflow begins by selecting the physical response to regulate, such as an electronic, mechanical, thermal, or material state. Designers then tune relevant optical parameters, route the light through suitable photonic components, and use feedback when adjustment is needed. The resulting configuration can support controlled operation in a device, process, or microscale system.
The approach supports several distinct engineering applications, including fiber-optic communication, laser-based manufacturing, sensing, microfluidics, and robotic or microscale actuation. Each application uses light to regulate a system without relying on the same type of physical contact or mechanism. This breadth makes optical control relevant to both information technologies and automated physical processes.
Optical control provides a route toward compact systems in which photonic components regulate responses with high speed and spatial precision. Its ability to manipulate electronic, mechanical, thermal, or material states also supports continued development of integrated photonics. The same control principles are identified as relevant to emerging quantum systems, extending the engineering context beyond established applications.