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EMPIAR-10870
Cryo-FIB-SEM data on Chlamydomonas reinhardtii cells [37 micrographs in TIFF format]
Publication:

A modular platform for automated cryo-FIB workflows

Klumpe S, Fung HKH, Goetz SK, Zagoriy I, Hampoelz B, Zhang X, Erdmann PS, Baumbach J, Müller CW, Beck M, Plitzko JM, Mahamid J

eLife 10 (2021)

PMID: 34951584

Related EMDB entry:
Deposited:
2021-10-11
Released:
2022-01-11
Last modified:
2022-01-11
Imageset size:
888.23 MB
Imageset DOI:
10.6019/EMPIAR-10870
Experimental metadata:
Download xml json
Contains:
  • micrographs - single frame
Image Sets
1. ETD SEM Images Chlamydomonas reinhardtii
Category:
micrographs - single frame
Image format:
TIFF
No. of images or tilt series:
37
Image size:
(6144, 4096)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(34.0, 34.0)
Details:
Raw images from cryo-FIB-SEM data acquisition, numbered from 000.tif to 036.tif
Files:
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Citations
CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.
Poudel B, Gyawali R, Dhakal A, Cheng J, Xu D. (2026)
CryoSIP: unleashing protein high-resolution Cryo-EM via semantic-instance collaborative picking.
Deng Y, Wang S, Xiang M, Li Y, Zhuo L, Cao D, Fu X, Zou Q. (2026)
prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.
He L, Bartesaghi A. (2026)
Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.
Kong L, Zottig X, Elferich J, Grigorieff N. (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)
Dual site targeting of the bacterial 70S ribosome by tetracyclines.
Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (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)
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