EMPIAR-12885
Source data for AI-directed voxel extraction and volume EM identify intrusions as sites of mitochondrial contact [multiple data sets in TIFF format]
Publication:

AI-directed voxel extraction and volume EM identify intrusions as sites of mitochondrial contact

Padman BS, Lindblom R, Lazarou M

bioRxiv (2024)

Related EMDB entry:
Deposited:
2025-02-21
Released:
2025-11-25
Last modified:
2025-11-25
Imageset size:
32.75 GB
Imageset DOI:
Experimental metadata:
Download xml json
Contains:
  • micrographs - multiframe
  • reconstructed volumes
1. Test ROI from Dataset 1 used for AIVE benchmarking.
Category:
micrographs - multiframe
Image format:
TIFF
No. of images or tilt series:
1
Image size:
(740, 370)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(3.2552, 3.2552)
Details:
Test dataset (cropped from dataset 1) for AIVE benchmarking. Voxel values are inverted from original BSE signal. Spatial units are in nm. 10nm per slice.
Files:
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2. Raw model predictions & AIVE processed data for comparisons between 6 trained models
Category:
reconstructed volumes
Image format:
TIFF
No. of images or tilt series:
12
Image size:
(740, 370)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(3.2552, 3.2552)
Details:
All raw membrane predictions and AIVE processed data from Figures 1 & 2 of manuscript, showing direct comparison of results generated via different models. The trained models are RF (Random Forest), J48 (the java compatible extension of Ross Quinlan’s C4.5 classifier), MLP (Multi-Layer Perceptron), DT (Decision Table), JRip (java compatible propositional rule-based RIPPER), and PART (Projective Adaptive Resonance Theory neural network). Slice thickness is 10nm.
Files:
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3. Raw model predictions & human annotations for comparisons after AIVE processing
Category:
reconstructed volumes
Image format:
TIFF
No. of images or tilt series:
9
Image size:
(740, 370)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(3.2552, 3.2552)
Details:
Raw annotations and AIVE processed data for mitochondria from Figure 3, using classifications generated by one human on consecutive days, or two U-Nets with 3D anisotropic architecture (different random seeds).
Membrane predictions by a random forest model, which were used to conduct various forms of AIVE, are also provided.
Slice thickness is 10nm.
Files:
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4. Overview Dataset 1
Category:
micrographs - multiframe
Image format:
TIFF
No. of images or tilt series:
1
Image size:
(2960, 720)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(6.5104, 6.5104)
Details:
Tiff stack for half-scale overview FIB-SEM dataset 1. Slice thickness is 10nm.
Files:
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5. Overview Dataset 2
Category:
micrographs - multiframe
Image format:
TIFF
No. of images or tilt series:
1
Image size:
(2930, 806)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(6.5104, 6.5104)
Details:
Tiff stack for half-scale overview FIB-SEM dataset 2. Slice thickness is 10nm.
Files:
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6. Overview Dataset 3
Category:
micrographs - multiframe
Image format:
TIFF
No. of images or tilt series:
1
Image size:
(2948, 830)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(6.5104, 6.5104)
Details:
Tiff stack for half-scale overview FIB-SEM dataset 3. Slice thickness is 10nm.
Files:
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7. Overview Dataset 4 - Muscle
Category:
micrographs - multiframe
Image format:
TIFF
No. of images or tilt series:
1
Image size:
(500, 500)
Pixel type:
UNSIGNED BYTE
Pixel spacing:
(16.0, 16.0)
Details:
Tiff stack for muscle tissue. Slice thickness is 20nm.
Files:
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