EMPIAR-13335 - Cryo-EM structure of the transient receptor potential melastatin 4 (TRPM4) channel prepared using the cryoWriter system [3535 micrographs in MRC format]

EMPIAR-13335

Cryo-EM structure of the transient receptor potential melastatin 4 (TRPM4) channel prepared using the cryoWriter system [3535 micrographs in MRC format]

Publication:

CryoWriter: a robotic solution for improved Cryo-EM grid preparation.

Chinmaya KV, Kv C, Ekundayo B, Di Fabrizio M, Mohammed I, Radecke J, Stahlberg H, Kube M

Nature communications (2026)

PMID: 42218131

DOI: 10.1038/s41467-026-73752-3

Related EMDB entry:

EMD-54984

Deposited:

2026-02-25

Released:

2026-06-01

Last modified:

2026-06-01

Imageset size:

110.47 GB

Imageset DOI:

10.6019/EMPIAR-13335

Experimental metadata:

Download xml json

Contains:

micrographs - single frame

Image Sets

1. Cryo-EM structure of the transient receptor potential melastatin 4 TRPM4 channel prepared using the cryoWriter system with spiral-pattern writing

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

3535

Image size:

(4096, 4096)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.73, 0.73)

Details:

---

Files:

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Citations

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

He L, Bartesaghi A. (2026)

CryoSIP: unleashing protein high-resolution Cryo-EM via semantic-instance collaborative picking.

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

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (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)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (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)

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

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

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)