| CPC H04N 9/03 (2023.01) [G02B 21/241 (2013.01); G02B 21/367 (2013.01); G06T 3/14 (2024.01); G06T 7/38 (2017.01); H04N 25/11 (2023.01); H04N 25/611 (2023.01); G02B 21/06 (2013.01)] | 21 Claims |

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1. A method for generating a computationally reconstructed image, comprising:
acquiring, with an image sensor, a first image dataset from a sample illuminated using a first set of illumination conditions comprising a first number of illumination conditions each comprising a first wavelength, the first image dataset comprising a plurality of images comprising a first spatial frequency bandwidth;
acquiring, with the image sensor, a second image dataset from the sample illuminated using a second set of illumination conditions comprising a second number of illumination conditions, each comprising a second wavelength, the second image dataset comprising one or more images comprising a second spatial frequency bandwidth, wherein the first number of illumination conditions is larger than the second number of illumination conditions; and
combining the first image dataset and the second image dataset into a computationally reconstructed image of the sample, wherein the computationally reconstructed image comprises a spatial frequency bandwidth greater than the first spatial frequency bandwidth of the first image dataset and the second spatial frequency bandwidth of the second image dataset.
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