Data from: Adaptive optical imaging with entangled photons
Data files
Aug 09, 2024 version files 19.37 MB

Figure3a.xlsx

Figure3b.xlsx

Figure3c.xlsx

Figure3d.xlsx

Figure3e.xlsx

Figure3f.xlsx

Figure3g.xlsx

Figure3h.xlsx

Figure4a.xlsx

Figure4b.xlsx

Figure4c.xlsx

Figure4d.xlsx

Figure4e.xlsx

Figure4f.xlsx

Figure4g.xlsx

Figure5a.xlsx

Figure5b.xlsx

Figure5d.xlsx

Figure5e.xlsx

Figure5f.xlsx

Figure5g.xlsx

README.md
Abstract
Adaptive optics (AO) has revolutionized imaging in fields from astronomy to microscopy by correcting optical aberrations. In labelfree microscopes, however, conventional AO faces limitations due to the absence of guidestar and the need to select an optimization metric specific to the sample and imaging process. Here, we propose an AO approach leveraging correlations between entangled photons to directly correct the point spread function (PSF). This guidestarfree method is independent of the specimen and imaging modality. We demonstrate the imaging of biological samples in the presence of aberrations using a brightfield imaging setup operating with a source of spatiallyentangled photon pairs. Our approach performs better than conventional AO in correcting specific aberrations, particularly those involving significant defocus. Our work improves AO for labelfree microscopy and could play a major role in the development of quantum microscopes.
README: Adaptive optical imaging with entangled photons
https://doi.org/10.5061/dryad.cnp5hqccd
Dataset includes all experimental data presented in the figures of the main article. Context and experimental procedure are described in the article.
Fig 3a: Direct intensity reference image of a honeybee mouthpiece. No aberrations present in the system and no correction displayed on SLM.
Fig 3b: Blurred direct intensity image of honeybee with aberrations. No correction displayed on SLM.
Fig 3c: Corrected direct intensity image of honeybee with aberrations and correction displayed on SLM.
Fig 3d: Sumcoordinate projection showing the spatial structure of photon pairs' correlations. From same acquisition as Fig 3a. No aberrations and no correction on SLM.
Fig 3e: Sumcoordinate projection in the presence of aberrations. From same acquistion as Fig 3b. No correction on SLM.
Fig 3f: Sumcoordinate projection after correction. From same acquisition as Fig 3c.
Fig 3g: Image of correction phase mask found by optimising sumcoordinate projection.
Fig 3h: Plot and gaussian fits of sumcoordinate projection central value as a function of correction coefficient for two different Zernike modes (Z33 and Z13).
Fig 4a: Plots of image quality metrics as a function of defocus aberration strength for an object with 3d structure (three thin wires). Metrics are (in order): PowerinBucket (PIB), image contrast, low spatial frequencies, and central value of sumcoordinate projection. Includes scatter plots of data and line plots of fits.
Figs 4b4g each contain a direct intensity image (large), a 1d image cross section (line plot), and a sumcoordinate projection image (inset) for different aberration corrections with 3 wires object. All crosssections are column 75 of direct intensity image. Each image is stored in a different sheet with the corresponding title as: 'Large image' or 'Inset image'
Fig 4b: Defocus aberration and no correction.
Fig 4c: Defocus aberration and correction found via optimising PowerinBucket metric.
Fig 4d: Defocus aberration and correction found via optimising image contrast metric.
Fig 4e: Defocus aberration and correction found via optimising low spatial frequencies metric.
Fig 4f: Defocus aberration and correction found via optimising peak of sumcoordinate projection.
Fig 4g: Reference with no aberration or correction.
Fig 5a: Direct intensity image of left half of SPDC beam. No aberration or correction.
Fig 5b: Direct intensity image of right half of SPDC beam with honeybee leg object. No aberration or correction.
Fig 5d: Image of correction phase mask found by optimising sumcoordinate projection central value.\
Figs 5eg each contain show an image of honeybee leg extracted from diagonal elements of 2photon spatial G2 (large) and sumcoordinate projection (inset). Each image is stored in a different sheet with the corresponding title as: 'Large image' or 'Inset image'
Fig 5e: No aberration or correction.
Fig 5f: With aberration and no correction.
Fig 5g: With aberration and correction.
Description of the data and file structure
Data are saved as .xlsx files and can be read into arrays using e.g. Matlab's readmatrix()
function. Each subfigure has its own file: for figure X, subfigure y, the file is titled FigureXy.xlsx.
For files containing image data, the columns represent the x pixel coordinate and the rows represent the ypixel coordinate. Numeric values in each cell correspond to the value of the chosen pixel. Units depend on the quantity being plotted (i.e. direct intensity or correlations) and are given in all figures in the manuscript. Images shown in the paper are plotted using Matlab's imagesc() function, with the color axis scaling indicated on the image colorbars.
For subfigures that include two images, e.g. Figures 4 bg, the large image is saved in the first sheet, and the inset image is saved in the second sheet.
Data from scatter and line plots are saved as rows. For a given set, the x data is the first row and the y data is the second.
Figure 3h contains two sets of data and two fits for the plots of the projection peak vs correction coefficient. Units are given in paper.
 Experimental data is stored in first sheet and the numerical fit is stored in the second.
 The x and y values for the first set (blue plots, Zernike Z33), are stored in rows 1 and 2, respectively.
 The x and y valeys for the second set (red plots, Zernike Z13), are stored in rows 3 and 4, respectively.
Figure 4a similarly is a plot of multiple sets of data and fits. As with Figure 3h, experimental data and fits are stored in separate sheets. Units are given in paper. They are organised as follows:
 Rows 1 and 2: x and y coordinates (resp.) for the yellow plots (power in bucket)
 Rows 3 and 4: x and y coordinates (resp.) for the red plots (contrast)
 Rows 5 and 6: x and y coordinates (resp.) for the blue plots (low freq.)
 Rows 7 and 8: x and y coordinates (resp.) for the purple plots (quantum)