EMPIAR-13356 - Multiscale human liver tissue sample volume electron microscopy [597 reconstructed volumes in TIFF format]

EMPIAR-13356

Multiscale human liver tissue sample volume electron microscopy [597 reconstructed volumes in TIFF format]

Publication:

Multiscale human liver tissue sample volume electron microscopy

Xing CX

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Related EMDB entry:

Deposited:

2026-02-12

Released:

2026-03-16

Last modified:

2026-03-16

Imageset size:

497.10 GB

Imageset DOI:

10.6019/EMPIAR-13356

Experimental metadata:

Download xml json

Contains:

reconstructed volumes

Image Sets

1. Reconstructed human liver tissue raw images

Category:

reconstructed volumes

Image format:

TIFF

No. of images or tilt series:

597

Image size:

(None, None)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(None, None)

Details:

---

Files:

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Citations

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

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Deng Y, Wang S, Xiang M, Li Y, Zhuo L, Cao D, Fu X, Zou Q. (2026)

Chart builder: an interactive tool for user driven data visualization in the electron microscopy data bank.

Fonseca N, Duraisamy AK, Wang Z, Somasundharam S, Tayebinia M, de Oliveira LC, Ma M, Turner J, Patwardhan A, Kleywegt GJ, Hartley M, Morris KL. (2026)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements.

Jones HN, Deshmukh A, Pande K. (2026)

CryoGS: High-Quality Cryo-EM Homogeneous Reconstruction by Gaussian Splatting

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2026)

Point cloud deformation modeling for particle selection following cryo-EM 2D classification.

Wang X, Mo Z, Li F, Zhang F, Wan X. (2026)

ICECREAM: high-fidelity equivariant cryo-electron tomography.

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2026)

CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection.

Schäfer JH, Calza A, Hom K, Damodar P, Peng R, Bogdanović N, Lander GC, Stagg SM, Cianfrocco MA. (2025)