WikiSysop: Created page with "== Citation == Xu, Da / Ando, Nozomi. Miffi: Improving the accuracy of CNN-based cryo-EM micrograph filtering with fine-tuning and Fourier space information. 2024. J. Structural Biology, Vol. 216, No. 2, p. 108072 == Abstract == Efficient and high-accuracy filtering of cryo-electron microscopy (cryo-EM) micrographs is an emerging challenge with the growing speed of data collection and sizes of datasets. Convolutional neural networks (CNNs) are machine learning models..."

2024-08-13T06:35:01Z

Created page with "== Citation == Xu, Da / Ando, Nozomi. Miffi: Improving the accuracy of CNN-based cryo-EM micrograph filtering with fine-tuning and Fourier space information. 2024. J. Structural Biology, Vol. 216, No. 2, p. 108072 == Abstract == Efficient and high-accuracy filtering of cryo-electron microscopy (cryo-EM) micrographs is an emerging challenge with the growing speed of data collection and sizes of datasets. Convolutional neural networks (CNNs) are machine learning models..."

New page

== Citation ==

Xu, Da / Ando, Nozomi. Miffi: Improving the accuracy of CNN-based cryo-EM micrograph filtering with fine-tuning and Fourier space information. 2024. J. Structural Biology, Vol. 216, No. 2, p. 108072

== Abstract ==

Efficient and high-accuracy filtering of cryo-electron microscopy (cryo-EM) micrographs is an emerging challenge
with the growing speed of data collection and sizes of datasets. Convolutional neural networks (CNNs) are
machine learning models that have been proven successful in many computer vision tasks, and have been previously
applied to cryo-EM micrograph filtering. In this work, we demonstrate that two strategies, fine-tuning
models from pretrained weights and including the power spectrum of micrographs as input, can greatly
improve the attainable prediction accuracy of CNN models. The resulting software package, Miffi, is open-source
and freely available for public use (https://github.com/ando-lab/miffi).

== Keywords ==

== Links ==

https://www.sciencedirect.com/science/article/pii/S1047847724000121

== Related software ==

== Related methods ==

== Comments ==

2024Xu Miffi - Revision history