Defining Keypoints to Align H&E Images and Xenium DAPI-Stained Images Automatically Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/cells14131000
10X Xenium is an in situ spatial transcriptomics platform that enables single-cell and subcellular-level gene expression analysis. In Xenium data analysis, defining matched keypoints to align H&E and spatial transcriptomic images is critical for cross-referencing sequencing and histology. Currently, it is labor-intensive for domain experts to manually place keypoints to perform image registration in the Xenium Explorer software. We present Xenium-Align, a keypoint identification method that automatically generates keypoint files for image registration in Xenium Explorer. We validated our proposed method on 14 human kidney samples and one human skin Xenium sample representing healthy and diseased states, with expert manually marked results. These results show that Xenium-Align could generate accurate keypoints for automatically implementing image alignment in the Xenium Explorer software for spatial transcriptomics studies. Our future research aims to optimize the method’s runtime efficiency and usability for image alignment applications.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/cells14131000
- https://www.mdpi.com/2073-4409/14/13/1000/pdf?version=1751294824
- OA Status
- gold
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411802940
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411802940Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/cells14131000Digital Object Identifier
- Title
-
Defining Keypoints to Align H&E Images and Xenium DAPI-Stained Images AutomaticallyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-30Full publication date if available
- Authors
-
Yu Lin, Yan Wang, Juexin Wang, Mauminah Raina, Ricardo Melo Ferreira, Michael T. Eadon, Yanchun Liang, Dong XuList of authors in order
- Landing page
-
https://doi.org/10.3390/cells14131000Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-4409/14/13/1000/pdf?version=1751294824Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-4409/14/13/1000/pdf?version=1751294824Direct OA link when available
- Concepts
-
Computer science, Software, Usability, Artificial intelligence, Computer vision, Image registration, Image (mathematics), Pattern recognition (psychology), Human–computer interaction, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
53Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4411802940 |
|---|---|
| doi | https://doi.org/10.3390/cells14131000 |
| ids.doi | https://doi.org/10.3390/cells14131000 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/40643521 |
| ids.openalex | https://openalex.org/W4411802940 |
| fwci | 0.0 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D006801 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Humans |
| mesh[1].qualifier_ui | Q000379 |
| mesh[1].descriptor_ui | D007091 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | methods |
| mesh[1].descriptor_name | Image Processing, Computer-Assisted |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D012984 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Software |
| mesh[3].qualifier_ui | Q000378 |
| mesh[3].descriptor_ui | D007668 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | metabolism |
| mesh[3].descriptor_name | Kidney |
| mesh[4].qualifier_ui | Q000379 |
| mesh[4].descriptor_ui | D013194 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | methods |
| mesh[4].descriptor_name | Staining and Labeling |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D059467 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Transcriptome |
| mesh[6].qualifier_ui | Q000379 |
| mesh[6].descriptor_ui | D020869 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | methods |
| mesh[6].descriptor_name | Gene Expression Profiling |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D006801 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Humans |
| mesh[8].qualifier_ui | Q000379 |
| mesh[8].descriptor_ui | D007091 |
| mesh[8].is_major_topic | True |
| mesh[8].qualifier_name | methods |
| mesh[8].descriptor_name | Image Processing, Computer-Assisted |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D012984 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Software |
| mesh[10].qualifier_ui | Q000378 |
| mesh[10].descriptor_ui | D007668 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | metabolism |
| mesh[10].descriptor_name | Kidney |
| mesh[11].qualifier_ui | Q000379 |
| mesh[11].descriptor_ui | D013194 |
| mesh[11].is_major_topic | True |
| mesh[11].qualifier_name | methods |
| mesh[11].descriptor_name | Staining and Labeling |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D059467 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Transcriptome |
| mesh[13].qualifier_ui | Q000379 |
| mesh[13].descriptor_ui | D020869 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | methods |
| mesh[13].descriptor_name | Gene Expression Profiling |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D006801 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Humans |
| mesh[15].qualifier_ui | Q000379 |
| mesh[15].descriptor_ui | D007091 |
| mesh[15].is_major_topic | True |
| mesh[15].qualifier_name | methods |
| mesh[15].descriptor_name | Image Processing, Computer-Assisted |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D012984 |
| mesh[16].is_major_topic | False |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Software |
| mesh[17].qualifier_ui | Q000378 |
| mesh[17].descriptor_ui | D007668 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | metabolism |
| mesh[17].descriptor_name | Kidney |
| mesh[18].qualifier_ui | Q000379 |
| mesh[18].descriptor_ui | D013194 |
| mesh[18].is_major_topic | True |
| mesh[18].qualifier_name | methods |
| mesh[18].descriptor_name | Staining and Labeling |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D059467 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Transcriptome |
| mesh[20].qualifier_ui | Q000379 |
| mesh[20].descriptor_ui | D020869 |
| mesh[20].is_major_topic | False |
| mesh[20].qualifier_name | methods |
| mesh[20].descriptor_name | Gene Expression Profiling |
| type | article |
| title | Defining Keypoints to Align H&E Images and Xenium DAPI-Stained Images Automatically |
| awards[0].id | https://openalex.org/G3095911524 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | 62372494 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 13 |
| biblio.volume | 14 |
| biblio.last_page | 1000 |
| biblio.first_page | 1000 |
| topics[0].id | https://openalex.org/T11289 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1312 |
| topics[0].subfield.display_name | Molecular Biology |
| topics[0].display_name | Single-cell and spatial transcriptomics |
| topics[1].id | https://openalex.org/T12859 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9925000071525574 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1304 |
| topics[1].subfield.display_name | Biophysics |
| topics[1].display_name | Cell Image Analysis Techniques |
| topics[2].id | https://openalex.org/T10015 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9868999719619751 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Genomics and Phylogenetic Studies |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list.value | 2200 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2382 |
| apc_paid.value | 2200 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2382 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7767859697341919 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C2777904410 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6661127805709839 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q7397 |
| concepts[1].display_name | Software |
| concepts[2].id | https://openalex.org/C170130773 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6255689859390259 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q216378 |
| concepts[2].display_name | Usability |
| concepts[3].id | https://openalex.org/C154945302 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5972204804420471 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[3].display_name | Artificial intelligence |
| concepts[4].id | https://openalex.org/C31972630 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5474782586097717 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[4].display_name | Computer vision |
| concepts[5].id | https://openalex.org/C166704113 |
| concepts[5].level | 3 |
| concepts[5].score | 0.43372732400894165 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q861092 |
| concepts[5].display_name | Image registration |
| concepts[6].id | https://openalex.org/C115961682 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4072502851486206 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q860623 |
| concepts[6].display_name | Image (mathematics) |
| concepts[7].id | https://openalex.org/C153180895 |
| concepts[7].level | 2 |
| concepts[7].score | 0.40611469745635986 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q7148389 |
| concepts[7].display_name | Pattern recognition (psychology) |
| concepts[8].id | https://openalex.org/C107457646 |
| concepts[8].level | 1 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[8].display_name | Human–computer interaction |
| concepts[9].id | https://openalex.org/C199360897 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[9].display_name | Programming language |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7767859697341919 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/software |
| keywords[1].score | 0.6661127805709839 |
| keywords[1].display_name | Software |
| keywords[2].id | https://openalex.org/keywords/usability |
| keywords[2].score | 0.6255689859390259 |
| keywords[2].display_name | Usability |
| keywords[3].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[3].score | 0.5972204804420471 |
| keywords[3].display_name | Artificial intelligence |
| keywords[4].id | https://openalex.org/keywords/computer-vision |
| keywords[4].score | 0.5474782586097717 |
| keywords[4].display_name | Computer vision |
| keywords[5].id | https://openalex.org/keywords/image-registration |
| keywords[5].score | 0.43372732400894165 |
| keywords[5].display_name | Image registration |
| keywords[6].id | https://openalex.org/keywords/image |
| keywords[6].score | 0.4072502851486206 |
| keywords[6].display_name | Image (mathematics) |
| keywords[7].id | https://openalex.org/keywords/pattern-recognition |
| keywords[7].score | 0.40611469745635986 |
| keywords[7].display_name | Pattern recognition (psychology) |
| language | en |
| locations[0].id | doi:10.3390/cells14131000 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2736626452 |
| locations[0].source.issn | 2073-4409 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2073-4409 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Cells |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/2073-4409/14/13/1000/pdf?version=1751294824 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Cells |
| locations[0].landing_page_url | https://doi.org/10.3390/cells14131000 |
| locations[1].id | pmid:40643521 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Cells |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/40643521 |
| locations[2].id | pmh:oai:doaj.org/article:550d3f7194a543d3905f121d0a00d064 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Cells, Vol 14, Iss 13, p 1000 (2025) |
| locations[2].landing_page_url | https://doaj.org/article/550d3f7194a543d3905f121d0a00d064 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:12248767 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Cells |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/12248767 |
| locations[4].id | pmh:oai:scholarworks.indianapolis.iu.edu:1805/50017 |
| locations[4].is_oa | True |
| locations[4].source.id | https://openalex.org/S4306522653 |
| locations[4].source.issn | |
| locations[4].source.type | journal |
| locations[4].source.is_oa | False |
| locations[4].source.issn_l | |
| locations[4].source.is_core | True |
| locations[4].source.is_in_doaj | False |
| locations[4].source.display_name | PMC |
| locations[4].source.host_organization | |
| locations[4].source.host_organization_name | |
| locations[4].license | cc-by |
| locations[4].pdf_url | |
| locations[4].version | submittedVersion |
| locations[4].raw_type | Article |
| locations[4].license_id | https://openalex.org/licenses/cc-by |
| locations[4].is_accepted | False |
| locations[4].is_published | False |
| locations[4].raw_source_name | PMC |
| locations[4].landing_page_url | https://hdl.handle.net/1805/50017 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5101649523 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-8454-1848 |
| authorships[0].author.display_name | Yu Lin |
| authorships[0].countries | CN, US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I76835614 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Electrical Engineering and Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I194450716 |
| authorships[0].affiliations[1].raw_affiliation_string | School of Artificial Intelligence, Jilin University, Changchun 130012, China |
| authorships[0].institutions[0].id | https://openalex.org/I194450716 |
| authorships[0].institutions[0].ror | https://ror.org/00js3aw79 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I194450716 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Jilin University |
| authorships[0].institutions[1].id | https://openalex.org/I76835614 |
| authorships[0].institutions[1].ror | https://ror.org/02ymw8z06 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I76835614 |
| authorships[0].institutions[1].country_code | US |
| authorships[0].institutions[1].display_name | University of Missouri |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yu Lin |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Electrical Engineering and Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA, School of Artificial Intelligence, Jilin University, Changchun 130012, China |
| authorships[1].author.id | https://openalex.org/A5100322699 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-4751-0708 |
| authorships[1].author.display_name | Yan Wang |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I194450716 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Artificial Intelligence, Jilin University, Changchun 130012, China |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I194450716 |
| authorships[1].affiliations[1].raw_affiliation_string | Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China |
| authorships[1].institutions[0].id | https://openalex.org/I194450716 |
| authorships[1].institutions[0].ror | https://ror.org/00js3aw79 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I194450716 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Jilin University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Yan Wang |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China, School of Artificial Intelligence, Jilin University, Changchun 130012, China |
| authorships[2].author.id | https://openalex.org/A5080641496 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-2260-4310 |
| authorships[2].author.display_name | Juexin Wang |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4388446366, https://openalex.org/I55769427 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN 46202, USA |
| authorships[2].institutions[0].id | https://openalex.org/I4388446366 |
| authorships[2].institutions[0].ror | https://ror.org/03eftgw80 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I4388446366, https://openalex.org/I592451 |
| authorships[2].institutions[0].country_code | |
| authorships[2].institutions[0].display_name | Indiana University Indianapolis |
| authorships[2].institutions[1].id | https://openalex.org/I55769427 |
| authorships[2].institutions[1].ror | https://ror.org/05gxnyn08 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I55769427, https://openalex.org/I592451 |
| authorships[2].institutions[1].country_code | US |
| authorships[2].institutions[1].display_name | Indiana University – Purdue University Indianapolis |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Juexin Wang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN 46202, USA |
| authorships[3].author.id | https://openalex.org/A5113046056 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Mauminah Raina |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4388446366, https://openalex.org/I55769427 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN 46202, USA |
| authorships[3].institutions[0].id | https://openalex.org/I4388446366 |
| authorships[3].institutions[0].ror | https://ror.org/03eftgw80 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I4388446366, https://openalex.org/I592451 |
| authorships[3].institutions[0].country_code | |
| authorships[3].institutions[0].display_name | Indiana University Indianapolis |
| authorships[3].institutions[1].id | https://openalex.org/I55769427 |
| authorships[3].institutions[1].ror | https://ror.org/05gxnyn08 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I55769427, https://openalex.org/I592451 |
| authorships[3].institutions[1].country_code | US |
| authorships[3].institutions[1].display_name | Indiana University – Purdue University Indianapolis |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Mauminah Raina |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN 46202, USA |
| authorships[4].author.id | https://openalex.org/A5026812525 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-2063-9744 |
| authorships[4].author.display_name | Ricardo Melo Ferreira |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4388446366, https://openalex.org/I55769427 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Medicine, Indiana University Indianapolis, Indianapolis, IN 46202, USA |
| authorships[4].institutions[0].id | https://openalex.org/I4388446366 |
| authorships[4].institutions[0].ror | https://ror.org/03eftgw80 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I4388446366, https://openalex.org/I592451 |
| authorships[4].institutions[0].country_code | |
| authorships[4].institutions[0].display_name | Indiana University Indianapolis |
| authorships[4].institutions[1].id | https://openalex.org/I55769427 |
| authorships[4].institutions[1].ror | https://ror.org/05gxnyn08 |
| authorships[4].institutions[1].type | education |
| authorships[4].institutions[1].lineage | https://openalex.org/I55769427, https://openalex.org/I592451 |
| authorships[4].institutions[1].country_code | US |
| authorships[4].institutions[1].display_name | Indiana University – Purdue University Indianapolis |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Ricardo Melo Ferreira |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Medicine, Indiana University Indianapolis, Indianapolis, IN 46202, USA |
| authorships[5].author.id | https://openalex.org/A5067667442 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-3066-2876 |
| authorships[5].author.display_name | Michael T. Eadon |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4388446366, https://openalex.org/I55769427 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Medicine, Indiana University Indianapolis, Indianapolis, IN 46202, USA |
| authorships[5].institutions[0].id | https://openalex.org/I4388446366 |
| authorships[5].institutions[0].ror | https://ror.org/03eftgw80 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I4388446366, https://openalex.org/I592451 |
| authorships[5].institutions[0].country_code | |
| authorships[5].institutions[0].display_name | Indiana University Indianapolis |
| authorships[5].institutions[1].id | https://openalex.org/I55769427 |
| authorships[5].institutions[1].ror | https://ror.org/05gxnyn08 |
| authorships[5].institutions[1].type | education |
| authorships[5].institutions[1].lineage | https://openalex.org/I55769427, https://openalex.org/I592451 |
| authorships[5].institutions[1].country_code | US |
| authorships[5].institutions[1].display_name | Indiana University – Purdue University Indianapolis |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Michael T. Eadon |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Medicine, Indiana University Indianapolis, Indianapolis, IN 46202, USA |
| authorships[6].author.id | https://openalex.org/A5076665413 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-1147-3968 |
| authorships[6].author.display_name | Yanchun Liang |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I194450716 |
| authorships[6].affiliations[0].raw_affiliation_string | Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China |
| authorships[6].affiliations[1].institution_ids | https://openalex.org/I4210165204 |
| authorships[6].affiliations[1].raw_affiliation_string | School of Computer Science, Zhuhai College of Science and Technology, Zhuhai 519041, China |
| authorships[6].institutions[0].id | https://openalex.org/I194450716 |
| authorships[6].institutions[0].ror | https://ror.org/00js3aw79 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I194450716 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | Jilin University |
| authorships[6].institutions[1].id | https://openalex.org/I4210165204 |
| authorships[6].institutions[1].ror | https://ror.org/05r1mzq61 |
| authorships[6].institutions[1].type | facility |
| authorships[6].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210145761, https://openalex.org/I4210165204 |
| authorships[6].institutions[1].country_code | CN |
| authorships[6].institutions[1].display_name | Zhuhai Institute of Advanced Technology |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Yanchun Liang |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China, School of Computer Science, Zhuhai College of Science and Technology, Zhuhai 519041, China |
| authorships[7].author.id | https://openalex.org/A5082428303 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-4809-0514 |
| authorships[7].author.display_name | Dong Xu |
| authorships[7].countries | US |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I76835614 |
| authorships[7].affiliations[0].raw_affiliation_string | Department of Electrical Engineering and Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA |
| authorships[7].institutions[0].id | https://openalex.org/I76835614 |
| authorships[7].institutions[0].ror | https://ror.org/02ymw8z06 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I76835614 |
| authorships[7].institutions[0].country_code | US |
| authorships[7].institutions[0].display_name | University of Missouri |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Dong Xu |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Department of Electrical Engineering and Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/2073-4409/14/13/1000/pdf?version=1751294824 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-07-01T00:00:00 |
| display_name | Defining Keypoints to Align H&E Images and Xenium DAPI-Stained Images Automatically |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11289 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1312 |
| primary_topic.subfield.display_name | Molecular Biology |
| primary_topic.display_name | Single-cell and spatial transcriptomics |
| related_works | https://openalex.org/W2429057255, https://openalex.org/W2187546663, https://openalex.org/W148745890, https://openalex.org/W4389670110, https://openalex.org/W2611942503, https://openalex.org/W4315621326, https://openalex.org/W2899790217, https://openalex.org/W2598865957, https://openalex.org/W1576092969, https://openalex.org/W2524154428 |
| cited_by_count | 0 |
| locations_count | 5 |
| best_oa_location.id | doi:10.3390/cells14131000 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2736626452 |
| best_oa_location.source.issn | 2073-4409 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2073-4409 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Cells |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/2073-4409/14/13/1000/pdf?version=1751294824 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Cells |
| best_oa_location.landing_page_url | https://doi.org/10.3390/cells14131000 |
| primary_location.id | doi:10.3390/cells14131000 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2736626452 |
| primary_location.source.issn | 2073-4409 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2073-4409 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Cells |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2073-4409/14/13/1000/pdf?version=1751294824 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Cells |
| primary_location.landing_page_url | https://doi.org/10.3390/cells14131000 |
| publication_date | 2025-06-30 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4300862018, https://openalex.org/W4220765701, https://openalex.org/W3190202966, https://openalex.org/W4389722402, https://openalex.org/W4389938094, https://openalex.org/W4398160694, https://openalex.org/W4406016593, https://openalex.org/W4401317959, https://openalex.org/W4401757646, https://openalex.org/W4405039572, https://openalex.org/W4400901907, https://openalex.org/W4405756857, https://openalex.org/W4389504246, https://openalex.org/W4389135772, https://openalex.org/W4390151085, https://openalex.org/W4391933278, https://openalex.org/W3111521801, https://openalex.org/W6785136195, https://openalex.org/W6639824700, https://openalex.org/W3087685572, https://openalex.org/W4210583065, https://openalex.org/W2540495167, https://openalex.org/W2064076387, https://openalex.org/W2089800766, https://openalex.org/W2114770744, https://openalex.org/W2133665775, https://openalex.org/W1964232375, https://openalex.org/W1993267444, https://openalex.org/W4367555380, https://openalex.org/W4393004135, https://openalex.org/W2151103935, https://openalex.org/W4394894190, https://openalex.org/W4390872188, https://openalex.org/W2153410375, https://openalex.org/W2002827932, https://openalex.org/W4308770506, https://openalex.org/W2135063818, https://openalex.org/W81474395, https://openalex.org/W2060695547, https://openalex.org/W2942965748, https://openalex.org/W4280531763, https://openalex.org/W3132111858, https://openalex.org/W3021714323, https://openalex.org/W2153504150, https://openalex.org/W4318617280, https://openalex.org/W4399070637, https://openalex.org/W4402966611, https://openalex.org/W4393333416, https://openalex.org/W4308948108, https://openalex.org/W4394744747, https://openalex.org/W3100296314, https://openalex.org/W1901129140, https://openalex.org/W3099064910 |
| referenced_works_count | 53 |
| abstract_inverted_index.a | 61 |
| abstract_inverted_index.14 | 82 |
| abstract_inverted_index.In | 17 |
| abstract_inverted_index.We | 58, 76 |
| abstract_inverted_index.an | 3 |
| abstract_inverted_index.in | 4, 53, 73, 116 |
| abstract_inverted_index.is | 2, 31, 40 |
| abstract_inverted_index.it | 39 |
| abstract_inverted_index.on | 81 |
| abstract_inverted_index.to | 24, 45, 49, 129 |
| abstract_inverted_index.10X | 0 |
| abstract_inverted_index.Our | 125 |
| abstract_inverted_index.and | 12, 27, 36, 86, 94, 135 |
| abstract_inverted_index.for | 33, 42, 70, 111, 121, 137 |
| abstract_inverted_index.one | 87 |
| abstract_inverted_index.our | 78 |
| abstract_inverted_index.the | 54, 117, 131 |
| abstract_inverted_index.aims | 128 |
| abstract_inverted_index.data | 19 |
| abstract_inverted_index.gene | 14 |
| abstract_inverted_index.show | 104 |
| abstract_inverted_index.situ | 5 |
| abstract_inverted_index.skin | 89 |
| abstract_inverted_index.that | 9, 65, 105 |
| abstract_inverted_index.with | 97 |
| abstract_inverted_index.These | 102 |
| abstract_inverted_index.align | 25 |
| abstract_inverted_index.could | 107 |
| abstract_inverted_index.files | 69 |
| abstract_inverted_index.human | 83, 88 |
| abstract_inverted_index.image | 51, 71, 114, 138 |
| abstract_inverted_index.place | 47 |
| abstract_inverted_index.Xenium | 1, 18, 55, 74, 90, 118 |
| abstract_inverted_index.domain | 43 |
| abstract_inverted_index.expert | 98 |
| abstract_inverted_index.future | 126 |
| abstract_inverted_index.images | 30 |
| abstract_inverted_index.kidney | 84 |
| abstract_inverted_index.marked | 100 |
| abstract_inverted_index.method | 64, 80 |
| abstract_inverted_index.sample | 91 |
| abstract_inverted_index.H&E | 26 |
| abstract_inverted_index.enables | 10 |
| abstract_inverted_index.experts | 44 |
| abstract_inverted_index.healthy | 93 |
| abstract_inverted_index.matched | 22 |
| abstract_inverted_index.perform | 50 |
| abstract_inverted_index.present | 59 |
| abstract_inverted_index.results | 103 |
| abstract_inverted_index.runtime | 133 |
| abstract_inverted_index.samples | 85 |
| abstract_inverted_index.spatial | 6, 28, 122 |
| abstract_inverted_index.states, | 96 |
| abstract_inverted_index.Explorer | 56, 119 |
| abstract_inverted_index.accurate | 109 |
| abstract_inverted_index.critical | 32 |
| abstract_inverted_index.defining | 21 |
| abstract_inverted_index.diseased | 95 |
| abstract_inverted_index.generate | 108 |
| abstract_inverted_index.keypoint | 62, 68 |
| abstract_inverted_index.manually | 46, 99 |
| abstract_inverted_index.optimize | 130 |
| abstract_inverted_index.platform | 8 |
| abstract_inverted_index.proposed | 79 |
| abstract_inverted_index.research | 127 |
| abstract_inverted_index.results. | 101 |
| abstract_inverted_index.software | 120 |
| abstract_inverted_index.studies. | 124 |
| abstract_inverted_index.Explorer. | 75 |
| abstract_inverted_index.alignment | 115, 139 |
| abstract_inverted_index.analysis, | 20 |
| abstract_inverted_index.analysis. | 16 |
| abstract_inverted_index.generates | 67 |
| abstract_inverted_index.keypoints | 23, 48, 110 |
| abstract_inverted_index.software. | 57 |
| abstract_inverted_index.usability | 136 |
| abstract_inverted_index.validated | 77 |
| abstract_inverted_index.Currently, | 38 |
| abstract_inverted_index.efficiency | 134 |
| abstract_inverted_index.expression | 15 |
| abstract_inverted_index.histology. | 37 |
| abstract_inverted_index.method’s | 132 |
| abstract_inverted_index.sequencing | 35 |
| abstract_inverted_index.single-cell | 11 |
| abstract_inverted_index.Xenium-Align | 106 |
| abstract_inverted_index.implementing | 113 |
| abstract_inverted_index.registration | 52, 72 |
| abstract_inverted_index.representing | 92 |
| abstract_inverted_index.Xenium-Align, | 60 |
| abstract_inverted_index.applications. | 140 |
| abstract_inverted_index.automatically | 66, 112 |
| abstract_inverted_index.identification | 63 |
| abstract_inverted_index.transcriptomic | 29 |
| abstract_inverted_index.labor-intensive | 41 |
| abstract_inverted_index.transcriptomics | 7, 123 |
| abstract_inverted_index.cross-referencing | 34 |
| abstract_inverted_index.subcellular-level | 13 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.47999998927116394 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.23814746 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |