EMPIAR-10559
Krios G4 apoferritin test with K3/BioQuantum SerialEM BIS 3x3x1 [2391 multi-frame micrographs composed of 76 frames each in TIFF format]
Publication:

Cryo-EM Performance Testing of Hardware and Data Acquisition Strategies

Danev R, Yanagisawa H, Kikkawa M

Microscopy (Oxford, England) 1 (2021) 1-2

PMID: 33969878

Related EMDB entry:
Deposited:
2020-11-17
Released:
2020-11-24
Last modified:
2021-06-30
Imageset size:
658.96 GB
Imageset DOI:
Experimental metadata:
Download xml json
Contains:
  • micrographs - multiframe
1. Unaligned multi-frame non-gain-normalized movies in LZW compressed TIFF format
Category:
micrographs - multiframe
Image format:
TIFF
No. of images or tilt series:
2391
Image size:
(11520, 8184)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(0.1997, 0.1997)
Details:
Please see the "dataset_details_apoF.txt" file for details.

To test the overall performance of the Krios G4 at The University of Tokyo, five datasets were collected from the same apoferritin grid in the beginning of July 2020.
This was the first dataset in the series.

Sample: mouse heavy chain apoferritin
Grid: UltrAuFoil 300 mesh R1.2/1.3
Cemera: Gatan K3 post a BioQuantum energy filter
Camera mode: super resolution, CDS
TEM mode: EFTEM NanoProbe
Mag: x215k
C2 aperture: 50 um
Spot: 4
Beam diameter: 1.55 um
EF slit: 15 eV
Data collection software: SerialEM
Acquisition method: beam-image shift with beam-tilt compensation
Acquisition pattern: 3 x 3 holes, 1 image in the center of each hole
Physical Pixel: 0.3994 A/pix
SuperRes pixel: 0.1997 A/pix
Exposure rate: 3.42 e/pix/s (CDS)
Exposure time: 3.04 s
Total exposure: 64.5 e/A2
Frames: 76
Defocus: 0.2 - 0.8 um
Movies: 2391
Data format: non-gain-normalized LZW compressed TIFFs
Gain reference: "apoF_gain.mrc" prepared from the data
Final particles: 181k
Particles file: "run_data.star"
Optics groups: per-acquisition position and per hour
Resolution (with Ewald correction): 1.31 A
Rosenthal-Henderson B-factor: 38.7 A^2


Rado
November 19, 2020
Files:
Loading...
Files:
Loading...

Ito F, Alvarez-Cabrera AL, Liu S, Yang H, Shiriaeva A, Zhou ZH, Chen XS. (2023)
Rigden DJ, Fernández XM. (2023)
Iudin A, Korir PK, Somasundharam S, Weyand S, Cattavitello C, Fonseca N, Salih O, Kleywegt GJ, Patwardhan A. (2023)
Serra Lleti JM, Steyer AM, Schieber NL, Neumann B, Tischer C, Hilsenstein V, Holtstrom M, Unrau D, Kirmse R, Lucocq JM, Pepperkok R, Schwab Y. (2023)
Caldwell BJ, Norris AS, Karbowski CF, Wiegand AM, Wysocki VH, Bell CE. (2022)