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6,881 to 6,890 of 11,652 Results

Figure_9_(continued).jpg Oct 16, 2020 - Replication data for: Devonian–Carboniferous collapse and segmentation of the Billefjorden Trough, and Eurekan inversion–overprint and strain partitioning and decoupling along inherited WNW–ESE-striking faults JPEG Image - 42.8 MB - MD5: c7526c5c8efb150f99b68409a35e9b1d Figure 9 (second part) from Koehl et al. (2020).
Figure_9.jpg Oct 16, 2020 - Replication data for: Devonian–Carboniferous collapse and segmentation of the Billefjorden Trough, and Eurekan inversion–overprint and strain partitioning and decoupling along inherited WNW–ESE-striking faults JPEG Image - 101.9 MB - MD5: 55b44b82ab0e071e7c7d3d48b0f15aa0 Figure 9 (first part) from Koehl et al. (2020).
S1.jpg Oct 16, 2020 - Replication data for: Devonian–Carboniferous collapse and segmentation of the Billefjorden Trough, and Eurekan inversion–overprint and strain partitioning and decoupling along inherited WNW–ESE-striking faults JPEG Image - 69.8 MB - MD5: 1f1f7ea0eff6cc0e70ec893f544de9e6 Supplement 1 from Koehl et al. (2020).
S2.jpg Oct 16, 2020 - Replication data for: Devonian–Carboniferous collapse and segmentation of the Billefjorden Trough, and Eurekan inversion–overprint and strain partitioning and decoupling along inherited WNW–ESE-striking faults JPEG Image - 37.5 MB - MD5: f537627ecbb69374b9263e0286309ecc Supplement 2 from Koehl et al. (2020).
S3.jpg Oct 16, 2020 - Replication data for: Devonian–Carboniferous collapse and segmentation of the Billefjorden Trough, and Eurekan inversion–overprint and strain partitioning and decoupling along inherited WNW–ESE-striking faults JPEG Image - 37.2 MB - MD5: 60eef43eaeaa8e8a633840e0e34056a8 Supplement 3 from Koehl et al. (2020).
S5.jpg Oct 16, 2020 - Replication data for: Devonian–Carboniferous collapse and segmentation of the Billefjorden Trough, and Eurekan inversion–overprint and strain partitioning and decoupling along inherited WNW–ESE-striking faults JPEG Image - 36.0 MB - MD5: 756219e55f7365725537d67229bd4613 Supplement 5 from Koehl et al. (2020).
S6.jpg Oct 16, 2020 - Replication data for: Devonian–Carboniferous collapse and segmentation of the Billefjorden Trough, and Eurekan inversion–overprint and strain partitioning and decoupling along inherited WNW–ESE-striking faults JPEG Image - 177.4 MB - MD5: efc9ae835cf8fa569b7e504f3b3eac91 Supplement 6 from Koehl et al. (2020).
Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells Jun 25, 2021 Opstad, Ida S.; Godtliebsen, Gustav; Sekh, Arif Ahmed, 2021, "Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells", https://doi.org/10.18710/IDCUCI, DataverseNO, V1 Abstract: Segmenting sub-cellular structures in living cells from fluorescence microscopy images is a ground truth (GT) hard problem. The microscope’s 3-dimensional blurring function, finite optical resolution due to light diffraction, finite pixel resolution, and complex morphological manifestations of the structures, all contribute to GT-hardness...
0_ReadMe-1.txt Jun 25, 2021 - Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells Plain Text - 15.6 KB - MD5: e132db0a0f357ed56600fb8b42da3583
10-Regions-Imaged-every-5sec-10min-Z1-T1_50X_01.tif Jun 25, 2021 - Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells TIFF Image - 28.8 MB - MD5: 43524366000f47521f45da5437b0d04e

Figure_9_(continued).jpg

Oct 16, 2020 - Replication data for: Devonian–Carboniferous collapse and segmentation of the Billefjorden Trough, and Eurekan inversion–overprint and strain partitioning and decoupling along inherited WNW–ESE-striking faults

JPEG Image - 42.8 MB -

Figure 9 (second part) from Koehl et al. (2020).

Figure_9.jpg

JPEG Image - 101.9 MB -

Figure 9 (first part) from Koehl et al. (2020).

S1.jpg

JPEG Image - 69.8 MB -

Supplement 1 from Koehl et al. (2020).

S2.jpg

JPEG Image - 37.5 MB -

Supplement 2 from Koehl et al. (2020).

S3.jpg

JPEG Image - 37.2 MB -

Supplement 3 from Koehl et al. (2020).

S5.jpg

JPEG Image - 36.0 MB -

Supplement 5 from Koehl et al. (2020).

S6.jpg

JPEG Image - 177.4 MB -

Supplement 6 from Koehl et al. (2020).

Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells

Jun 25, 2021

Opstad, Ida S.; Godtliebsen, Gustav; Sekh, Arif Ahmed, 2021, "Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells", https://doi.org/10.18710/IDCUCI, DataverseNO, V1

Abstract: Segmenting sub-cellular structures in living cells from fluorescence microscopy images is a ground truth (GT) hard problem. The microscope’s 3-dimensional blurring function, finite optical resolution due to light diffraction, finite pixel resolution, and complex morphological manifestations of the structures, all contribute to GT-hardness...

0_ReadMe-1.txt

Jun 25, 2021 - Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells

Plain Text - 15.6 KB -

10-Regions-Imaged-every-5sec-10min-Z1-T1_50X_01.tif

Jun 25, 2021 - Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells

TIFF Image - 28.8 MB -

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