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1. NeAT NeAT Public

   This repository contains the code for Neural fields for Adaptive Optical Two-photon Fluorescence Microscopy (NeAT).

   Python 1 1

2. CoCoA CoCoA Public

   Kang, I., Zhang, Q., Yu, S.X. et al. Coordinate-based neural representations for computational adaptive optics in widefield microscopy. Nat Mach Intell 6, 714–725 (2024). https://doi.org/10.1038/s4…

   Jupyter Notebook 21 6

3. ADePt ADePt Public

   Self-supervised machine learning algorithm for X-ray ptycho-laminography

   Python 3 2

4. APT APT Public

   Python codes for the paper "Three-dimensional X-ray imaging of integrated circuits at 14 nm resolution minimising data acquisition and computation time."

   Python 4 2

5. simultaneous_recovery simultaneous_recovery Public

   This repository provides code and datasets used for the Optica paper (Kang and de Cea et al, Optica (2022)): https://opg.optica.org/optica/fulltext.cfm?uri=optica-9-10-1149&id=509776.

   Python 4 1

6. dynamical-machine-learning-limited-angular-views dynamical-machine-learning-limited-angular-views Public

   Python code for our Light Sci. Appl. paper 'Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views.'

   Python 1