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Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
Our model demonstrated improvement in training time during convolution from $600-700$ ms/step to $400-500$ ms/step.
Localization of Ultra-dense Emitters with Neural Networks
Single-Molecule Localization Microscopy (SMLM) has expanded our ability to visualize subcellular structures but is limited in its temporal resolution.
Effect of structure-based training on 3D localization precision and quality
This study introduces a structural-based training approach for CNN-based algorithms in single-molecule localization microscopy (SMLM) and 3D object reconstruction.
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