Link to the paper: link

Content-aware frame interpolation (CAFI) provides a Deep Learning-based temporal super-resolution for fast bioimaging. It increases the frame rate of any microscope modality by interpolating an image in between two consecutive images via “intelligent” interpolation, providing a 2x increase in temporal or/and axial resolution. Here we provide the modified repositories of DAIN and Zooming SlowMo used in the CAFI 4 Microscopy Google Colab notebooks.

Demonstration Video	Tutorial Video CAFI (DAIN)	Tutorial Video CAFI (ZS)

DAIN 4 Microscopy: |

Original Github of DAIN | Source Paper 1

ZoomingSlowMo 4 Microscopy |

Original Github of ZS | Source Paper 1 | Source Paper 2

Microscopy training and test data is available here:

Martin Priessner, David C.A Gaboriau, Arlo Sheridan, Tchern Lenn, Jonathan R. Chubb, Uri Manor, Ramon Vilar, and Romain F. Laine

Content-aware frame interpolation (CAFI): Deep Learning-based temporal super-resolution for fast bioimaging. bioRxiv, 2021. DOI: https://doi.org/10.1101/2021.11.02.466664