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ShareScore release 0.9.0
Dataset results
5 results for “Multimode fibers”
Raw experimental data for `Tailoring the Rotational Memory Effect in Multimode Fibers`
<p>Raw data for the article [**Tailoring the Rotational Memory Effect in Multimode Fibers**](https://arxiv.org/abs/2310.19337)</p><p>Measurement of transmission matrices and rotational memory effect for 4 segments of 50 micron core graded index multimode fibers with a numerical aperture of 0.2.</p>
Raw data for the main figures of the paper: "Demixing fluorescence time traces transmitted by multimode fibers"
<p><strong>RawMovies.zip </strong></p> <p>This zip file includes the raw movies for each main figure of the paper. </p> <p>For figures 02, 03, 04, 04 and 06, we included 2 tiff files (2 stacks of images): <br>- The first one gives the measured footprints of the sources (ground truth). <br>- The second one is the raw movie (temporal sequence of images) acquired on the microscope for the specific experiment. </p> <p>For figure 07, the tiff file corresponds to a movie acquired while moving a single fluorescent bead away from the optical axis of the microscope (as in figure 7c). </p> <p><strong>RawRata.zip</strong></p> <p>This zip file contains raw data for figures 03, 04, 05 and 06. We have included two files for each figure:<br>- the _gt file is a matrix of the GT time traces (dimensions: number of sources x number of time bins)<br>- the other file is a 3D matrix corresponding to all the images acquired during the experiment. The first time frames are the measured footprints of each of the sources (ground truth). They were acquired by illuminating each source sequentially. The remaining frames correspond to the raw movie acquired during the experiment while illuminating the sources with the GT time traces. Dimensions of this 3D matrix are: (number of pixels in the x dimension) x (number of pixels in the y dimension) x (number of sources + number of time bins)</p> <p>This raw data is the input data to the python analysis function located in :<br>https://github.com/comediaLKB/DemixedFiberPhotometry. </p>
Dataset for "Suppressing transverse mode instability through multimode excitation in a fiber amplifier"
<p>Numerical and theoretical data associated with "Suppressing transverse mode instability through multimode excitation in a fiber amplifier" (doi.org/10.1073/pnas.2217735120). </p>
Speckle Images for Single-Pixel Multimode Fiber Spectrometer
<p>** General Information ** </p> <p>- Dataset includes 2500 speckle images of size 256x320 used to calibrate the system</p> <p>- Dataset includes 2500 speckle images of size 256x320 used to test the system</p> <p>- 50 wavelengths between 1549.750 nm and 1550.240 nm are used in the measurements</p> <p>- The separation between the consecutive wavelengths is 10 pm</p> <p><br> ** FOLDER: calibration_data **</p> <p>- This folder consists of the speckle images used to construct the calibration matrix</p> <p>- "calibration_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y</p> <p><br> ** FOLDER: test_data **</p> <p>- This folder consists of the speckle images used to test the system in the reconstruction step</p> <p>- "test_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y</p>
Controllable Light Scattering on Fiber Bragg Gratings in Multimode Fibers: Tailoring Angular Emission for Advanced Fiber-Based Light
<p>The dataset consists of angular scattering patterns and transmission spectra for two fiber Bragg gratings. The scattering data is represented as 2-D arrays (images). The arrays are rectangular, where the longer side corresponds to the phi angle (azimuth) ranging from 0 to 2pi, and the shorter side represents the theta angle (polar angle) ranging from 0 to pi. To get the angle in rad per pixel just divide the corresponding arc length (p, 2pi) by the number of pixels on the axis.</p>
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OpenNeuro
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