EMPIAR-12956 - Plasmodium berghei ookinete [1170 micrographs in TIFF format]

EMPIAR-12956

Plasmodium berghei ookinete [1170 micrographs in TIFF format]

Publication:

CELLULAR HALLMARKS FROM VOLUME ELECTRON MICROSCOPY REVEAL DEVELOPMENTAL PROGRESSION OF PLASMODIUM OOKINETES

Darif N, Rheinnecker M, Hildenbrand K, Chookajorn T, Dorner LP, Hériché JK, Henriksson S, Funaya C, Hentzschel F, Sandblad L, Billker O, Schwab Y, Frischknecht F

Advanced Science (---)

Related EMDB entry:

Deposited:

2025-04-09

Released:

2025-11-13

Last modified:

2025-11-13

Imageset size:

4.96 GB

Imageset DOI:

10.6019/EMPIAR-12956

Experimental metadata:

Download xml json

Contains:

micrographs - single frame

Image Sets

1. FIB-SEM Plasmodium berghei ookinete

Category:

micrographs - single frame

Image format:

TIFF

No. of images or tilt series:

1170

Image size:

(None, None)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(None, None)

Details:

Focused ion beam-scanning electron microscope (FIB-SEM) data from Plasmodium berghei Cl15 cy1 strain prepared using nycodenz-enrichnebt. FIB-SEM data collection....The parasites were cultivated using an ookinete cultivation method for 24 hours. Stacks were registered with SIFT using the translation option in FIJI. The Northern drift was corrected by multistackreg. The file was converted to the mrc format with pixel size correction.

Files:

選択したファイルを無圧縮zipファイルにアーカイブ化してダウンロードします。

ダウンロードするファイル数やサイズによっては、膨大な時間がかかります。また、この機能は不安定で正常に動作しない可能性があり、ダウンロードされたファイルのチェックサムは検証されません。

rsync、aspera、globus 等の利用をおすすめします。

選択したファイルのリストをダウンロードします。

rsyncコマンド等でファイルリストを指定してダウンロードすることが可能です。

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

Browse All Files

Quick Links

Browse EMPIAR

Sample Preparation Widget

Volume Browser

Tomo Viewer Prototype

Claim entries to your ORCiD

Talks and Tutorials

EMPIAR Quick tour

Publications

Re-use study

Statistics

EMPIAR in the news

COVID-19 Data Portal

EMDB

BioImage Archive

PDBe

EMNavigator@PDBj

PDBj

Citations

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

He L, Bartesaghi A. (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)

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)

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)

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

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