Computational microscopy is a subfield of

computational imaging Computational imaging is the process of indirectly forming images from measurements using algorithms that rely on a significant amount of computing. In contrast to traditional imaging, computational imaging systems involve a tight integration of th ...

, which combines algorithmic reconstruction with sensing to capture microscopic images of objects. The algorithms used in computational microscopy often combine the information of several images captured using various illuminations or measurements to form an aggregated 2D or 3D image using iterative techniques or machine learning. Notable forms of computational microscopy include super-resolution fluorescence microscopy, quantitative phase imaging, and

Fourier ptychography Fourier ptychography is a computational imaging technique based on optical microscopy that consists in the synthesis of a wider numerical aperture from a set of full-field images acquired at various coherent illumination angles, resulting in in ...

. Computational microscopy is at the intersection of

computer science Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines (includin ...

and

optics Optics is the branch of physics that studies the behaviour and properties of light, including its interactions with matter and the construction of instruments that use or detect it. Optics usually describes the behaviour of visible, ultra ...

.Greenbaum, Alon, Yibo Zhang, Alborz Feizi, Ping-Luen Chung, Wei Luo, Shivani R. Kandukuri, and Aydogan Ozcan. "Wide-field computational imaging of pathology slides using lens-free on-chip microscopy." Science translational medicine 6, no. 267 (2014): 267ra175-267ra175.

References

{{reflist Imaging Microscopy Multidimensional signal processing