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This paper proposes a non-computational method of counteracting the effect ofimage degradation introduced by the diffraction phenomenon in lenslessmicroscopy. All the optical images (whether focused by lenses or not) arediffraction patterns, which preserve the visual information upto a certainextent determined by the size of the point spread functions, like airy disks insome cases. A highly diverging beam can be exploited to reduce the spatialextent of these point spread functions relatively in the transformed projectivespace, which can help us in the spatial unmixing of the visual information. Theprinciple has been experimentally validated by the lensless imaging of redblood cells of diameter ~6-9 micrometers and a photolithography mask withfeatures in micrometer scale. The important advantages of the proposed approachof non-computational shadow microscopy are the improved depth of field and adrastic increase in the sensor to sample working distance. The imaging methodcan also be used as a projection technique in the multi-angle optical computedtomography (CT).

Geometric Solution of Image Degradation by Diffraction in Lensless Sensing and Microscopy