Unsupervised learning approaches to characterizing heterogeneous samples using X-ray single-particle imaging.

Zhuang Y, Awel S, Barty A, Bean R, Bielecki J, Bergemann M, Daurer BJ, Ekeberg T, Estillore AD, Fangohr H, Giewekemeyer K, Hunter MS, Karnevskiy M, Kirian RA, Kirkwood H, Kim Y, Koliyadu J, Lange H, Letrun R, Lübke J, Mall A, Michelat T, Morgan AJ, Roth N, Samanta AK, Sato T, Shen Z, Sikorski M, Schulz F, Spence JCH, Vagovic P, Wollweber T, Worbs L, Xavier PL, Yefanov O, Maia FRNC, Horke DA, Küpper J, Loh ND, Mancuso AP, Chapman HN, Ayyer K

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DOI: 10.1107/s2052252521012707
Published: 2022 Mar 1
Container: IUCrJ
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1107/s2052252521012707,
  title = {Unsupervised learning approaches to characterizing heterogeneous samples using X-ray single-particle imaging.},
  author = {Zhuang Y and Awel S and Barty A and Bean R and Bielecki J and Bergemann M and Daurer BJ and Ekeberg T and Estillore AD and Fangohr H and Giewekemeyer K and Hunter MS and Karnevskiy M and Kirian RA and Kirkwood H and Kim Y and Koliyadu J and Lange H and Letrun R and Lübke J and Mall A and Michelat T and Morgan AJ and Roth N and Samanta AK and Sato T and Shen Z and Sikorski M and Schulz F and Spence JCH and Vagovic P and Wollweber T and Worbs L and Xavier PL and Yefanov O and Maia FRNC and Horke DA and Küpper J and Loh ND and Mancuso AP and Chapman HN and Ayyer K},
  year = {2022},
  journal = {IUCrJ},
  doi = {10.1107/s2052252521012707},
  url = {https://doi.org/10.1107/s2052252521012707}
}

RIS

TY  - JOUR
TI  - Unsupervised learning approaches to characterizing heterogeneous samples using X-ray single-particle imaging.
AU  - Zhuang Y
AU  - Awel S
AU  - Barty A
AU  - Bean R
AU  - Bielecki J
AU  - Bergemann M
AU  - Daurer BJ
AU  - Ekeberg T
AU  - Estillore AD
AU  - Fangohr H
AU  - Giewekemeyer K
AU  - Hunter MS
AU  - Karnevskiy M
AU  - Kirian RA
AU  - Kirkwood H
AU  - Kim Y
AU  - Koliyadu J
AU  - Lange H
AU  - Letrun R
AU  - Lübke J
AU  - Mall A
AU  - Michelat T
AU  - Morgan AJ
AU  - Roth N
AU  - Samanta AK
AU  - Sato T
AU  - Shen Z
AU  - Sikorski M
AU  - Schulz F
AU  - Spence JCH
AU  - Vagovic P
AU  - Wollweber T
AU  - Worbs L
AU  - Xavier PL
AU  - Yefanov O
AU  - Maia FRNC
AU  - Horke DA
AU  - Küpper J
AU  - Loh ND
AU  - Mancuso AP
AU  - Chapman HN
AU  - Ayyer K
PY  - 2022
JO  - IUCrJ
DO  - 10.1107/s2052252521012707
UR  - https://doi.org/10.1107/s2052252521012707
ER  -

APA

Y, Z., S, A., A, B., R, B., J, B., M, B., BJ, D., T, E., AD, E., H, F., K, G., MS, H., M, K., RA, K., H, K., Y, K., J, K., H, L., R, L., J, L., A, M., T, M., AJ, M., N, R., AK, S., T, S., Z, S., M, S., F, S., JCH, S., P, V., T, W., L, W., PL, X., O, Y., FRNC, M., DA, H., J, K., ND, L., AP, M., HN, C., & K, A. (2022). Unsupervised learning approaches to characterizing heterogeneous samples using X-ray single-particle imaging.. IUCrJ. https://doi.org/10.1107/s2052252521012707

Source records

pubmed · retrieved 2026-09-25T05:07:29.194Z