EMPIAR-11759 - Developing retina in zebrafish 55 hpf larval eye. [16 reconstructed volumes in DM3 format]

EMPIAR-11759

Developing retina in zebrafish 55 hpf larval eye. [16 reconstructed volumes in DM3 format]

Publication:

Developing retina in zebrafish 55 hpf larval eye.

Wilsch-Bräuninger M

(---)

Related EMDB entry:

Deposited:

2023-11-01

Released:

2024-01-15

Last modified:

2024-01-15

Imageset size:

1.16 GB

Imageset DOI:

10.6019/EMPIAR-11759

Experimental metadata:

Download xml json

Contains:

reconstructed volumes

Image Sets

1. Developing retina in zebrafish 55 hpf larval eye.

Category:

reconstructed volumes

Image format:

DM3

No. of images or tilt series:

Image size:

(5628, 5632)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(80.0, 80.0)

Details:

Developing retina in zebrafish 55 hpf larval eye.
It is a SBF-SEM data set.
The resolution is 8nm/px in xy and 50nm per section (z).

If this is also where to enter, the acquisition conditions on the FEI Magellan400 SEM were 1.9kV accelerating voltage and 200pA current at 0.5 usec dwell time.
The microtome unit of the SBF-SEM is called Gatan 3ViewXP.

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Citations

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

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Deng Y, Wang S, Xiang M, Li Y, Zhuo L, Cao D, Fu X, Zou Q. (2026)

Chart builder: an interactive tool for user driven data visualization in the electron microscopy data bank.

Fonseca N, Duraisamy AK, Wang Z, Somasundharam S, Tayebinia M, de Oliveira LC, Ma M, Turner J, Patwardhan A, Kleywegt GJ, Hartley M, Morris KL. (2026)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements.

Jones HN, Deshmukh A, Pande K. (2026)

CryoGS: High-Quality Cryo-EM Homogeneous Reconstruction by Gaussian Splatting

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2026)

Point cloud deformation modeling for particle selection following cryo-EM 2D classification.

Wang X, Mo Z, Li F, Zhang F, Wan X. (2026)

ICECREAM: high-fidelity equivariant cryo-electron tomography.

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2026)

CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection.

Schäfer JH, Calza A, Hom K, Damodar P, Peng R, Bogdanović N, Lander GC, Stagg SM, Cianfrocco MA. (2025)