Cross-iteration deconvolution strategy for differential optical transfer function (dOTF) wavefront sensing

Related Concept Videos

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

We demonstrate the transmission of multiple independent signals through a multimode fiber using wavefront shaping employing a single spatial light modulator. By modulating the wavefront for each signal individually, spatially separated foci are transmitted. Potential applications are multiplexed data transfer in communications engineering and endoscopic light delivery in...
10.3K
Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
553
Analysis of SEC-SAXS data via EFA deconvolution and Scatter10:59

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

SEC-BioSAXS measurements of biological macromolecules are a standard approach for determining solution structure of macromolecules and their complexes. Here, we analyze SEC-BioSAXS data from two types of commonly encountered SEC traces—chromatograms with fully resolved and partially resolved peaks. We demonstrate the analysis and deconvolution using scatter and BioXTAS...
9.8K
A Live-cell Image-Based Machine Learning Strategy to Monitor Pluripotent Stem Cell Differentiation11:38

A Live-cell Image-Based Machine Learning Strategy to Monitor Pluripotent Stem Cell Differentiation

Available pluripotent stem cell (PSC)-to-functional cell differentiation systems are currently impeded by problems of severe line-to-line and batch-to-batch variability. Here, using cardiac differentiation as the main example, we present a protocol to intelligently monitor and modulate the process of PSC differentiation based on image-based machine learning.
1.1K
Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter05:14

Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter

The binocular wavefront optometer agrees well with traditional refraction techniques in both objective and subjective refraction measurements, offering superior accuracy and clinical utility. Its standardized protocol reduces optometrist workload and provides a more accurate refractive assessment for post-refractive surgery...
576
Convergent Polishing: A Simple, Rapid, Full Aperture Polishing Process of High Quality Optical Flats & Spheres13:07

Convergent Polishing: A Simple, Rapid, Full Aperture Polishing Process of High Quality Optical Flats & Spheres

A novel optical polishing process, called “Convergent Polishing”, which enables faster, lower cost polishing, is described. Unlike conventional polishing processes, Convergent Polishing allows a glass workpiece to be polished in a single iteration and with high surface quality to its final surface figure without requiring changes to polishing...
11.6K