EMPIAR-11035
CEM1.5M : a cellular EM dataset containing ~1.5 x 106 unlabeled 2D image patches curated for deep learning [1592753 micrographs in TIFF format]
Publication:

Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model

Narayan K

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Related EMDB entry:
Deposited:
2022-04-28
Released:
2022-05-20
Last modified:
2022-05-20
Imageset size:
57.59 GB
Imageset DOI:
Experimental metadata:
Download xml json
Contains:
  • micrographs - single frame
1. 1,592,753 unlabeled 2D cellular EM (CEM1.5M) image dataset curated for deep learning
Category:
micrographs - single frame
Image format:
TIFF
No. of images or tilt series:
1592753
Image size:
(224, 224)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(None, None)
Details:
This zip file contains 1,592,753 heterogeneous, information-rich, non-redundant unlabeled 2D cellular EM (hence CEM1.5M) images, divided into 651 subdirectories (each directory being a unique vEM or EM image set). The image patches are mostly 224 x 224 pixels, however some are 512 x 512, and some are smaller. The raw image data was curated for deep learning largely following Conrad and Narayan, eLife 2021. https://elifesciences.org/articles/65894
Files:
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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)