EMPIAR-10981 - CryoET of E. coli prepared with the Waffle Method [1504 multi-frame micrographs composed of 14 frames each in TIFF format]

EMPIAR-10981

CryoET of E. coli prepared with the Waffle Method [1504 multi-frame micrographs composed of 14 frames each in TIFF format]

Publication:

Waffle Method: A general and flexible approach for improving throughput in FIB-milling

Kelley K, Jaroenlak P, Raczkowski, AM, Eng ET, Bhabha G, Potter CS, Carragher B, Noble AJ

bioRxiv (2020)

DOI: 10.1101/2020.10.28.359372

Related EMDB entry:

EMD-26396

Deposited:

2022-03-09

Released:

2022-03-21

Last modified:

2022-03-21

Imageset size:

100.94 GB

Imageset DOI:

10.6019/EMPIAR-10981

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs for each tilt image

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

1504

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(2.077, 2.077)

Details:

Unaligned K3 tif tilt image frame stacks. Frame number increases from 14 at 0 degrees to 23 at high tilts to account for increasing thickness; dose increases from 4.87 to 8.00 e/A^2. Collected bi-directionally from [0:53.2] then [0:-53.2] with 2.8 degree increments.
Gain references are in the references/ folder.

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Citations

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy.

Arora S, Pan SH, Kumar S, Singh SK, Chauhan U, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Chui KT, Gupta BB. (2025)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning.

Costa-Gomes B, Greer J, Juraschko N, Parkhurst J, Mirecka J, Famili M, Rangel-Smith C, Strickson O, Lowe A, Basham M, Burnley T. (2025)

Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

Laser flash melting cryo-EM samples to overcome preferred orientation.

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

EMICSS: added-value annotations for EMDB entries.

Duraisamy AK, Fonseca N, Kleywegt GJ, Patwardhan A, Morris KL. (2025)

Global conformations of <i>Pichia pastoris</i> complex I are distinguished by the binding of a unique interdomain bridging subunit.

Lee CS, Grba DN, Wright JJ, Ivanov BS, Hirst J. (2025)

Overcoming Preferred Orientation in Cryo-EM With Ultrasonic Excitation During Vitrification

Williams HM, Curtis WA, Haubner M, Hruby J, Drabbels M, Lorenz UJ. (2025)

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