This article reviews how deep learning compensates for compromised biophotonic measurement metrics, enhancing bioimaging in cost, speed, and form factor and improving parameters like field of view and depth of field.
- Michael John Fanous
- Paloma Casteleiro Costa
- Aydogan Ozcan