Schematic of deep learning autofluorescence-harmonic microscopy. (IMAGE)

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS

Schematic of deep learning autofluorescence-harmonic microscopy.

Caption

a The basic network architecture including registration, residual-in-residual dense attention block (RRDAB) modules, conv layers, the skip connection, upsampling operation, and discriminator. The full frameworks can be found in Materials and methods. b A commercial two-photon microscope with a fast galvo-resonant scanning system and a slow dual-axis galvo scanning system. BS, beam splitter; CL, collect lens; DM, dichroic mirror; NDD, nondescanned detectors; OB, objective; SL, scan lens; TL, tube lens.

Credit

by Binglin Shen, Shaowen Liu, Yanping Li, Ying Pan, Yuan Lu, Rui Hu, Junle Qu, Liwei Liu

Usage Restrictions

Credit must be given to the creator.

License

CC BY

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