Accelerated methods and apparatuses for three-dimensional microscopy with structured illumination
US-2020150043-A1 · May 14, 2020 · US
US11867894B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11867894-B2 |
| Application number | US-202117470456-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 9, 2021 |
| Priority date | Sep 10, 2020 |
| Publication date | Jan 9, 2024 |
| Grant date | Jan 9, 2024 |
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A method for performing SIM microscopy on a sample, includes: generating n raw images of the sample, in each case by illuminating the sample using the same SIM illumination pattern albeit with an individual positioning for each raw image, wherein p orders of diffraction are assigned to the SIM illumination pattern, and generating an image of the sample from the n raw images. An image reconstruction is carried out using the orders of diffraction, wherein t highest orders of diffraction are suppressed during the image reconstruction and n=p−t applies.
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The invention claimed is: 1. A method for performing Structured Illumination Microscopy (SIM) on a sample, comprising: generating raw images of the sample, for each raw image by illuminating the sample using an identical SIM illumination pattern, with an individual shift for each raw image, wherein the SIM illumination pattern is characterized by p orders of diffraction, and generating an image of the sample by evaluating n of the raw images in an image reconstruction, wherein the image reconstruction comprises suppressing t highest orders of diffraction of the p orders of diffraction and selecting t such that n=p−t applies, with t being an integer larger zero, wherein not all of the p orders of diffraction are used in the image reconstruction and the number n of raw images evaluated is lower than the number p of the orders of diffraction characterizing the SIM illumination pattern. 2. The method as claimed in claim 1 , further comprising optically generating the SIM illumination pattern, and attenuating the t highest orders of diffraction of the p orders of diffraction characterizing the SIM illumination pattern. 3. The method as claimed in claim 2 , further comprising providing the SIM illumination pattern by generating, in an illumination objective pupil having a center and a diameter, an illumination light point pattern including illumination light points, wherein the t highest orders of diffraction attenuated by the attenuating step are the illumination light points at a location furthest away from the center of the illumination objective pupil, wherein said location is located on at least 80% of the diameter of the illumination objective pupil. 4. The method as claimed in claim 1 , wherein suppressing the t highest orders of diffraction in image reconstruction comprises a filtering step in a frequency domain. 5. The method as claimed in claim 1 , wherein the n raw images are used as recorded raw imaged and the image reconstruction comprises a Richardson-Lucy iteration method, which includes generating simulated raw images and comparing the simulated raw images with the recorded raw images in an iteration loop to attenuate and suppress the t highest orders. 6. The method as claimed in claim 1 , wherein the image reconstruction comprises a Richardson-Lucy iteration method, including calculating simulated raw images in an iteration loop and using only the n lowermost orders of diffraction in the iteration method. 7. The method as claimed in claim 1 , wherein the image reconstruction comprises decoding of a moiré pattern present in the raw images by setting up a linear system of equations of n equations and solving this system of equations. 8. The method as claimed in claim 1 , wherein the image reconstruction comprises decoding of a moiré pattern present in the raw images by setting up a linear, underdetermined system of equations of p equations and solving this system of equations. 9. The method as claimed in claim 8 , further comprising solving the system of equations by an approximation or extrapolation method. 10. The method as claimed in claim 9 , wherein the approximation method comprises a singular value decomposition process. 11. The method as claimed in claim 1 , wherein the SIM illumination pattern is a strip pattern and n=3, p=5, t=2 applies. 12. The method as claimed in claim 1 , wherein the individual shift of the SIM illumination pattern additionally comprises displacing the SIM illumination pattern into three different displacement positions and rotating the SIM illumination pattern into three different rotational positions per displacement position such that a total of 9 raw images are recorded. 13. The method as claimed in claim 1 , wherein the SIM illumination pattern is a multi-point pattern and n=9, p=13, t=4 applies. 14. The method as claimed in claim 3 , wherein said location is located in the range of 90% to 95% of the diameter. 15. The method as claimed in claim 3 , wherein said location is located in the range of 80% to 85% of the diameter. 16. The method as claimed in claim 3 wherein said location is located in the range of 85% to 90% of the diameter.
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