EMPIAR-10572
Krios G4 apoferritin test with K3/BioQuantum SerialEM BIS 1x1x4 [3472 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:
2020-11-24
Released:
2020-12-02
Last modified:
2021-07-02
Imageset size:
965.99 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:
3472
Image size:
(11520, 8184)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(0.1997, 0.1997)
Details:
Please see the "dataset_details_apoF_set3_EF.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 fourth 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: 6
Beam diameter: 0.65 um
EF slit: 15 eV
Data collection software: SerialEM
Acquisition method: beam-image shift with beam-tilt compensation
Acquisition pattern: 1 x 1 holes, 4 images around the periphery of the hole
Physical Pixel: 0.3994 A/pix
SuperRes pixel: 0.1997 A/pix
Exposure rate: 3.62 e/pix/s (CDS)
Exposure time: 3.04 s
Total exposure: 69.0 e/A2
Frames: 76
Defocus: 0.2 - 0.8 um
Movies: 3472
Data format: non-gain-normalized LZW compressed TIFFs
Gain reference: "apoF_set3_gain.mrc" prepared from the data
Final particles: 203k
Particles file: "run_data.star"
Optics groups: per-acquisition position
Resolution (with Ewald correction): 1.35 A
Rosenthal-Henderson B-factor: 40.9 A^2


Rado
November 25, 2020
Files:
Loading...
Abe KM, Li G, He Q, Grant T, Lim CJ. (2024)
Fenn KL, Horne JE, Crossley JA, Böhringer N, Horne RJ, Schäberle TF, Calabrese AN, Radford SE, Ranson NA. (2024)
Hicks CW, Rahman S, Gloor SL, Fields JK, Husby NL, Vaidya A, Maier KE, Morgan M, Keogh MC, Wolberger C. (2024)
Gusach A, Lee Y, Khoshgrudi AN, Mukhaleva E, Ma N, Koers EJ, Chen Q, Edwards PC, Huang F, Kim J, Mancia F, Veprintsev DB, Vaidehi N, Weyand SN, Tate CG. (2024)
Kofler L, Grundmann L, Gerhalter M, Prattes M, Merl-Pham J, Zisser G, Grishkovskaya I, Hodirnau VV, Vareka M, Breinbauer R, Hauck SM, Haselbach D, Bergler H. (2024)