WikiSysop: Created page with "== Citation == R. Kiewisz, G. Meyer-Lee, and T. Bepler, “A latent back-projection network for novel projection synthesis for improved Cryo-ET,” in ICLR 2025 Workshop on Generative and Experimental Perspectives for Biomolecular Design, == Abstract == Cryo-electron tomography (Cryo-ET) is hindered by the missing wedge, a gap in Fourier-space information caused by limited tilt-series angular coverage, leading to anisotropic resolution loss and artifacts. Current meth..."

2025-06-20T10:05:29Z

Created page with "== Citation == R. Kiewisz, G. Meyer-Lee, and T. Bepler, “A latent back-projection network for novel projection synthesis for improved Cryo-ET,” in ICLR 2025 Workshop on Generative and Experimental Perspectives for Biomolecular Design, == Abstract == Cryo-electron tomography (Cryo-ET) is hindered by the missing wedge, a gap in Fourier-space information caused by limited tilt-series angular coverage, leading to anisotropic resolution loss and artifacts. Current meth..."

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== Citation ==

R. Kiewisz, G. Meyer-Lee, and T. Bepler, “A latent back-projection network for novel projection synthesis for improved Cryo-ET,” in ICLR 2025 Workshop on Generative and Experimental Perspectives for Biomolecular Design,

== Abstract ==

Cryo-electron tomography (Cryo-ET) is hindered by the missing wedge, a gap
in Fourier-space information caused by limited tilt-series angular coverage, leading
to anisotropic resolution loss and artifacts. Current methods, such as IsoNet,
attempt to ”inpaint” missing frequencies in reconstructed tomograms but are constrained
by their reliance on pre-degraded data, often producing non-physical features.
We present our proof-of-concept model, a generative latent back-projection
autoencoder that bypasses traditional tomogram reconstruction and directly synthesizes
novel projections from tilt-series data in the frequency domain. Our latent
back-projection network encoder-decoder architecture maps raw projections to a
3D Fourier volume, leveraging the Fourier slice theorem to generate high-fidelity
projections beyond the experimental tilt range. Evaluated on E. coli mini-cells
Ishemgulova et al. (2023), our model achieves a lower MSE and higher correlation
with ground-truth data. Crucially, our model robustly recovers withheld
tilts (0° or ±15°) without retraining, outperforming IsoNet in MSE and correlation
metrics. By mitigating the missing wedge through generating tilts at new angles,
our proof-of-concept can potentially advances high-resolution in situ structural
biology for radiation-sensitive specimens.

== Keywords ==

== Links ==

https://openreview.net/forum?id=YVEllhGSTV

== Related software ==

== Related methods ==

== Comments ==

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