{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T16:15:05Z","timestamp":1785428105101,"version":"3.56.0"},"reference-count":30,"publisher":"International Union of Crystallography (IUCr)","issue":"2","license":[{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program","award":["818823"],"award-info":[{"award-number":["818823"]}]}],"content-domain":{"domain":["iucr.org","wiley.com","iucrj.org"],"crossmark-restriction":true},"short-container-title":["J Synchrotron Rad","J Synchrotron Radiat"],"accepted":{"date-parts":[[2025,12,22]]},"published-print":{"date-parts":[[2026,3,1]]},"abstract":"<jats:p>\n                    Bragg coherent diffraction imaging (BCDI) is a lens-less technique capable of imaging the strain in a particle in the size range from 20\u2005nm up to several micrometres. This indirect measurement technique, used in X-ray synchrotrons or free-electron lasers all over the world, requires an inversion step using iterative algorithms in order to recover the real-space complex object encoding the particle shape and deformation field. However, artefacts such as scattering peaks called `aliens' from nearby particles can affect the accuracy of the final reconstruction and require meticulous and time-consuming manual masking of the raw data. This becomes problematic for BCDI reconstructions during an experiment and\/or for large volumes of data. Here, we explore the potential of machine learning, and specifically clustering techniques, to speed up this procedure while keeping the maximum spatial resolution of the object reconstruction. We also provide a user-friendly Python\n                    <jats:italic>Jupyter<\/jats:italic>\n                    notebook program available on Github.\n                  <\/jats:p>","DOI":"10.1107\/s160057752501152x","type":"journal-article","created":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T16:35:52Z","timestamp":1769013352000},"page":"448-453","update-policy":"https:\/\/doi.org\/10.1107\/cm_01","source":"Crossref","is-referenced-by-count":0,"title":["Machine learning assisted masking of parasitic signals in Bragg coherent diffraction imaging"],"prefix":"10.1107","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6863-0293","authenticated-orcid":true,"given":"Ewen","family":"Bellec","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02rx3b187","id-type":"ROR","asserted-by":"publisher"}],"department":["CEA Grenoble, IRIG, MEM, NRS"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1640-0386","authenticated-orcid":true,"given":"Steven J.","family":"Leake","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mor","family":"Levi","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03qryx823","id-type":"ROR","asserted-by":"publisher"}],"department":["Department of Materials Science and Engineering"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5545-1261","authenticated-orcid":true,"given":"Eugen","family":"Rabkin","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03qryx823","id-type":"ROR","asserted-by":"publisher"}],"department":["Department of Materials Science and Engineering"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobias U.","family":"Sch\u00fclli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8172-3141","authenticated-orcid":true,"given":"Marie-Ingrid","family":"Richard","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02rx3b187","id-type":"ROR","asserted-by":"publisher"}],"department":["CEA Grenoble, IRIG, MEM, NRS"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"329","published-online":{"date-parts":[[2026,1,30]]},"reference":[{"key":"yn5122_bb1","doi-asserted-by":"crossref","first-page":"4818","DOI":"10.1021\/acsanm.9b00764","volume":"2","author":"Abuin","year":"2019","journal-title":"ACS Appl. Nano Mater."},{"key":"yn5122_bb2","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1038\/s41563-023-01528-x","volume":"22","author":"Atlan","year":"2023","journal-title":"Nat. Mater."},{"key":"yn5122_bb3","unstructured":"Bellec, E., Leake, S. & Richard, I. M. (2023). Dataset for the good BCDI data with 2 aliens. ESRF. https:\/\/doi.org\/10.15151\/ESRF-DC-1304320778."},{"key":"yn5122_bb4","doi-asserted-by":"crossref","first-page":"1830","DOI":"10.1107\/S1600577519010385","volume":"26","author":"Bj\u00f6rling","year":"2019","journal-title":"J. Synchrotron Rad."},{"key":"yn5122_bb5","doi-asserted-by":"crossref","first-page":"17357","DOI":"10.1038\/s41598-019-53774-2","volume":"9","author":"Carnis","year":"2019","journal-title":"Sci. Rep."},{"key":"yn5122_bb7","unstructured":"Dassonneville, S., Labat, S., Leake, S., Richard, M.-I., Yehya, S. & Zakaria, A. (2023). Defect dynamics inside Pt nanoparticles during in situ annealing. ESRF. https:\/\/doi.org\/10.15151\/ESRF-ES-1108803318."},{"key":"yn5122_bb8","unstructured":"Dupraz, M. (2015). PhD thesis. Universit\u00e9 Grenoble Alpes, France."},{"key":"yn5122_bb9","doi-asserted-by":"crossref","first-page":"3003","DOI":"10.1038\/s41467-022-30592-1","volume":"13","author":"Dupraz","year":"2022","journal-title":"Nat. Commun."},{"key":"yn5122_bb11","unstructured":"Ester, M., Kriegel, H.-P., Sander, J. & Xu, X. (1996). Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD'96), 2-4 August 1996, Portland Oregon, USA, pp. 226-231. AAAI Press."},{"key":"yn5122_bb12","doi-asserted-by":"crossref","first-page":"1404","DOI":"10.1107\/S1600576720010985","volume":"53","author":"Favre-Nicolin","year":"2020","journal-title":"J. Appl. Cryst."},{"key":"yn5122_bb13","doi-asserted-by":"crossref","first-page":"2758","DOI":"10.1364\/AO.21.002758","volume":"21","author":"Fienup","year":"1982","journal-title":"Appl. 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