Adaptive Optics
Adaptive Optics - Related Videos
03:33
An Adapted Optical Density-Based Microplate Assay for Characterizing Actinobacteriophage Infection
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Cited by 1 •
2023
An optical density-based microplate method is described to quantify long-term bacterial growth in the presence of bacteriophages, suitable for actinomycetes and other slow-growing bacteria. This method includes modifications to reduce evaporation and lid condensation and R code to calculate virus infection metrics, including the area under the curve, growth maximum, and relative virulence.
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.
06:03
Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat
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Cited by 11 •
2016
Here, we present a protocol to obtain adaptive laboratory evolution of microorganisms under conditions using chemostat culture. Also, genomic analysis of the evolved strain is discussed.
02:18
Isolation of Stress-Adapted Bacteria through Single Colony Selection
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2025
Source: Jeong, H., et. al. Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat. J. Vis. Exp. (2016).This video demonstrates the selective isolation and growth of stress-adapted bacteria from a culture exposed to prolonged stress conditions. The culture is plated on stressor-containing agar, and a single colony is selected to inoculate a liquid medium with the stressor. Absorbance is measured at regular intervals to monitor the growth and confirm the successful...
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
Wavefront sensors convert optical distortions into measurements of wavefront error. Those measurements give the control system information needed to determine how the optical path has departed from the desired state. In engineering designs, this sensing stage is essential because a corrective command cannot be selected reliably without an estimate of the current error.
A real-time control loop allows corrections to follow distortions that change during operation. It links wavefront measurements, computational commands, and an adjustable optical element so the system can repeatedly update its response. This behavior is especially relevant when a medium or optical system does not remain optically stable, because a fixed correction may become inaccurate.
The deformable mirror provides a physically adjustable surface that reshapes the optical wavefront in response to calculated commands. By compensating for measured errors, it helps restore beam or image quality rather than merely detecting the distortion. Its integration with sensors, actuators, and control algorithms makes wavefront correction an engineered feedback process.
Performance depends on how accurately the system measures wavefront errors, how quickly its control loop calculates commands, and how effectively its actuators reshape the corrective optical element. The character of the distortion also matters, since errors may originate in the medium or in the optical system. Together, these factors influence image sharpness and beam quality.
An engineering workflow begins by sensing the optical wavefront and identifying its errors. A computational controller then calculates corrective commands, which drive a deformable mirror or another adjustable optical element. The system repeats this sequence in real time, allowing the correction to track changing conditions and produce a more accurate image or beam.
Engineering applications include laser beam delivery, microscopy, and vision research, in addition to high-resolution astronomy. In each case, reducing aberrations can improve the quality of an image or beam and sharpen measurements. These uses show how the same wavefront-control approach can support both instrument performance and studies of optical systems or biological vision.
Adaptive optics supports optical communication by helping compensate for distortions that can degrade an optical beam as conditions change. Its value comes from combining fast sensing, actuation, and computation rather than relying on a fixed optical adjustment. This makes the technology relevant to engineered systems that must maintain precision while their optical environment varies.