Label-free drug response evaluation of human derived tumor spheroids using three-dimensional dynamic optical coherence tomography Article Swipe
Ibrahim Abd El-Sadek
,
Larina Tzu‐Wei Shen
,
Tomoko Mori
,
Shuichi Makita
,
Pradipta Mukherjee
,
Antonia Lichtenegger
,
Satoshi Matsusaka
,
Yoshiaki Yasuno
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-023-41846-3
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-023-41846-3
This study aims at demonstrating label-free drug-response-patterns assessment of different tumor spheroids and drug types by dynamic optical coherence tomography (D-OCT). The study involved human breast cancer (MCF-7) and colon cancer (HT-29) spheroids. The MCF-7 and HT-29 spheroids were treated with paclitaxel (Taxol; PTX) and the active metabolite of irinotecan SN-38, respectively. The drugs were applied with 0 (control), 0.1, 1, and 10 μM concentrations and the treatment durations were 1, 3, and 6 days. A swept-source OCT microscope equipped with a repeated raster scanning protocol was used to scan the spheroids. Logarithmic intensity variance (LIV) and late OCT correlation decay speed (OCDS $$_l$$ ) algorithms were used to visualize the tumor spheroid dynamics. LIV and OCDS $$_l$$ images visualized different response patterns of the two types of spheroids. In addition, spheroid morphology, LIV, and OCDS $$_l$$ quantification showed different time-courses among the spheroid and drug types. These results may indicate different action mechanisms of the drugs. The results showed the feasibility of D-OCT for the evaluation of drug response patterns of different cell spheroids and drug types and suggest that D-OCT can perform anti-cancer drug testing.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-023-41846-3
- https://www.nature.com/articles/s41598-023-41846-3.pdf
- OA Status
- gold
- Cited By
- 27
- References
- 75
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386803363
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4386803363Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-023-41846-3Digital Object Identifier
- Title
-
Label-free drug response evaluation of human derived tumor spheroids using three-dimensional dynamic optical coherence tomographyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-16Full publication date if available
- Authors
-
Ibrahim Abd El-Sadek, Larina Tzu‐Wei Shen, Tomoko Mori, Shuichi Makita, Pradipta Mukherjee, Antonia Lichtenegger, Satoshi Matsusaka, Yoshiaki YasunoList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-023-41846-3Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-023-41846-3.pdfDirect 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.nature.com/articles/s41598-023-41846-3.pdfDirect OA link when available
- Concepts
-
Spheroid, Computer science, Algorithm, Artificial intelligence, Chemistry, In vitro, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
27Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 15, 2024: 9, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
75Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4386803363 |
|---|---|
| doi | https://doi.org/10.1038/s41598-023-41846-3 |
| ids.doi | https://doi.org/10.1038/s41598-023-41846-3 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/37717067 |
| ids.openalex | https://openalex.org/W4386803363 |
| fwci | 4.28970734 |
| 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 | |
| mesh[1].descriptor_ui | D005260 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Female |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D041623 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Tomography, Optical Coherence |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D003110 |
| mesh[3].is_major_topic | True |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Colonic Neoplasms |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D001943 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Breast Neoplasms |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D000465 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Algorithms |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D004341 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Drug Evaluation |
| mesh[7].qualifier_ui | Q000494 |
| mesh[7].descriptor_ui | D000077146 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | pharmacology |
| mesh[7].descriptor_name | Irinotecan |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D017239 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Paclitaxel |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D006801 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Humans |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D005260 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Female |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D041623 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Tomography, Optical Coherence |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D003110 |
| mesh[12].is_major_topic | True |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Colonic Neoplasms |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D001943 |
| mesh[13].is_major_topic | True |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Breast Neoplasms |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D000465 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Algorithms |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D004341 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Drug Evaluation |
| mesh[16].qualifier_ui | Q000494 |
| mesh[16].descriptor_ui | D000077146 |
| mesh[16].is_major_topic | False |
| mesh[16].qualifier_name | pharmacology |
| mesh[16].descriptor_name | Irinotecan |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D017239 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Paclitaxel |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D006801 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Humans |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D005260 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Female |
| mesh[20].qualifier_ui | |
| mesh[20].descriptor_ui | D041623 |
| mesh[20].is_major_topic | False |
| mesh[20].qualifier_name | |
| mesh[20].descriptor_name | Tomography, Optical Coherence |
| mesh[21].qualifier_ui | |
| mesh[21].descriptor_ui | D003110 |
| mesh[21].is_major_topic | True |
| mesh[21].qualifier_name | |
| mesh[21].descriptor_name | Colonic Neoplasms |
| mesh[22].qualifier_ui | |
| mesh[22].descriptor_ui | D001943 |
| mesh[22].is_major_topic | True |
| mesh[22].qualifier_name | |
| mesh[22].descriptor_name | Breast Neoplasms |
| mesh[23].qualifier_ui | |
| mesh[23].descriptor_ui | D000465 |
| mesh[23].is_major_topic | False |
| mesh[23].qualifier_name | |
| mesh[23].descriptor_name | Algorithms |
| mesh[24].qualifier_ui | |
| mesh[24].descriptor_ui | D004341 |
| mesh[24].is_major_topic | False |
| mesh[24].qualifier_name | |
| mesh[24].descriptor_name | Drug Evaluation |
| mesh[25].qualifier_ui | Q000494 |
| mesh[25].descriptor_ui | D000077146 |
| mesh[25].is_major_topic | False |
| mesh[25].qualifier_name | pharmacology |
| mesh[25].descriptor_name | Irinotecan |
| mesh[26].qualifier_ui | |
| mesh[26].descriptor_ui | D017239 |
| mesh[26].is_major_topic | False |
| mesh[26].qualifier_name | |
| mesh[26].descriptor_name | Paclitaxel |
| mesh[27].qualifier_ui | |
| mesh[27].descriptor_ui | D006801 |
| mesh[27].is_major_topic | False |
| mesh[27].qualifier_name | |
| mesh[27].descriptor_name | Humans |
| mesh[28].qualifier_ui | |
| mesh[28].descriptor_ui | D005260 |
| mesh[28].is_major_topic | False |
| mesh[28].qualifier_name | |
| mesh[28].descriptor_name | Female |
| mesh[29].qualifier_ui | |
| mesh[29].descriptor_ui | D041623 |
| mesh[29].is_major_topic | False |
| mesh[29].qualifier_name | |
| mesh[29].descriptor_name | Tomography, Optical Coherence |
| mesh[30].qualifier_ui | |
| mesh[30].descriptor_ui | D003110 |
| mesh[30].is_major_topic | True |
| mesh[30].qualifier_name | |
| mesh[30].descriptor_name | Colonic Neoplasms |
| mesh[31].qualifier_ui | |
| mesh[31].descriptor_ui | D001943 |
| mesh[31].is_major_topic | True |
| mesh[31].qualifier_name | |
| mesh[31].descriptor_name | Breast Neoplasms |
| mesh[32].qualifier_ui | |
| mesh[32].descriptor_ui | D000465 |
| mesh[32].is_major_topic | False |
| mesh[32].qualifier_name | |
| mesh[32].descriptor_name | Algorithms |
| mesh[33].qualifier_ui | |
| mesh[33].descriptor_ui | D004341 |
| mesh[33].is_major_topic | False |
| mesh[33].qualifier_name | |
| mesh[33].descriptor_name | Drug Evaluation |
| mesh[34].qualifier_ui | Q000494 |
| mesh[34].descriptor_ui | D000077146 |
| mesh[34].is_major_topic | False |
| mesh[34].qualifier_name | pharmacology |
| mesh[34].descriptor_name | Irinotecan |
| mesh[35].qualifier_ui | |
| mesh[35].descriptor_ui | D017239 |
| mesh[35].is_major_topic | False |
| mesh[35].qualifier_name | |
| mesh[35].descriptor_name | Paclitaxel |
| type | article |
| title | Label-free drug response evaluation of human derived tumor spheroids using three-dimensional dynamic optical coherence tomography |
| biblio.issue | 1 |
| biblio.volume | 13 |
| biblio.last_page | 15377 |
| biblio.first_page | 15377 |
| grants[0].funder | https://openalex.org/F4320321181 |
| grants[0].award_id | FWF, Schrödinger grand, J4460 |
| grants[0].funder_display_name | Austrian Science Fund |
| grants[1].funder | https://openalex.org/F4320334764 |
| grants[1].award_id | 18H01893, 21H01836, 22K04962, 22F22355 |
| grants[1].funder_display_name | Japan Society for the Promotion of Science |
| grants[2].funder | https://openalex.org/F4320334764 |
| grants[2].award_id | 18H01893, 21H01836, 22K04962, 22F22355 |
| grants[2].funder_display_name | Japan Society for the Promotion of Science |
| grants[3].funder | https://openalex.org/F4320334764 |
| grants[3].award_id | 18H01893, 21H01836, 22K04962, 22F22355 |
| grants[3].funder_display_name | Japan Society for the Promotion of Science |
| grants[4].funder | https://openalex.org/F4320334764 |
| grants[4].award_id | 18H01893, 21H01836, 22K04962, 22F22355 |
| grants[4].funder_display_name | Japan Society for the Promotion of Science |
| grants[5].funder | https://openalex.org/F4320334764 |
| grants[5].award_id | 18H01893, 21H01836, 22K04962, 22F22355 |
| grants[5].funder_display_name | Japan Society for the Promotion of Science |
| grants[6].funder | https://openalex.org/F4320334789 |
| grants[6].award_id | JPMJMI18G8 |
| grants[6].funder_display_name | Japan Science and Technology Agency |
| grants[7].funder | https://openalex.org/F4320334789 |
| grants[7].award_id | JPMJMI18G8 |
| grants[7].funder_display_name | Japan Science and Technology Agency |
| grants[8].funder | https://openalex.org/F4320334789 |
| grants[8].award_id | JPMJMI18G8 |
| grants[8].funder_display_name | Japan Science and Technology Agency |
| grants[9].funder | https://openalex.org/F4320334789 |
| grants[9].award_id | JPMJMI18G8 |
| grants[9].funder_display_name | Japan Science and Technology Agency |
| grants[10].funder | https://openalex.org/F4320334789 |
| grants[10].award_id | JPMJMI18G8 |
| grants[10].funder_display_name | Japan Science and Technology Agency |
| grants[11].funder | https://openalex.org/F4320334789 |
| grants[11].award_id | JPMJMI18G8 |
| grants[11].funder_display_name | Japan Science and Technology Agency |
| grants[12].funder | https://openalex.org/F4320334789 |
| grants[12].award_id | JPMJMI18G8 |
| grants[12].funder_display_name | Japan Science and Technology Agency |
| grants[13].funder | https://openalex.org/F4320338075 |
| grants[13].award_id | JPMJCR2105 |
| grants[13].funder_display_name | Core Research for Evolutional Science and Technology |
| grants[14].funder | https://openalex.org/F4320338075 |
| grants[14].award_id | JPMJCR2105 |
| grants[14].funder_display_name | Core Research for Evolutional Science and Technology |
| grants[15].funder | https://openalex.org/F4320338075 |
| grants[15].award_id | JPMJCR2105 |
| grants[15].funder_display_name | Core Research for Evolutional Science and Technology |
| grants[16].funder | https://openalex.org/F4320338075 |
| grants[16].award_id | JPMJCR2105 |
| grants[16].funder_display_name | Core Research for Evolutional Science and Technology |
| grants[17].funder | https://openalex.org/F4320338075 |
| grants[17].award_id | JPMJCR2105 |
| grants[17].funder_display_name | Core Research for Evolutional Science and Technology |
| grants[18].funder | https://openalex.org/F4320338075 |
| grants[18].award_id | JPMJCR2105 |
| grants[18].funder_display_name | Core Research for Evolutional Science and Technology |
| grants[19].funder | https://openalex.org/F4320338075 |
| grants[19].award_id | JPMJCR2105 |
| grants[19].funder_display_name | Core Research for Evolutional Science and Technology |
| topics[0].id | https://openalex.org/T11569 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2204 |
| topics[0].subfield.display_name | Biomedical Engineering |
| topics[0].display_name | Optical Coherence Tomography Applications |
| topics[1].id | https://openalex.org/T10540 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9968000054359436 |
| 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 | Advanced Fluorescence Microscopy Techniques |
| topics[2].id | https://openalex.org/T12859 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.996399998664856 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1304 |
| topics[2].subfield.display_name | Biophysics |
| topics[2].display_name | Cell Image Analysis Techniques |
| funders[0].id | https://openalex.org/F4320321181 |
| funders[0].ror | https://ror.org/013tf3c58 |
| funders[0].display_name | Austrian Science Fund |
| funders[1].id | https://openalex.org/F4320334764 |
| funders[1].ror | https://ror.org/00hhkn466 |
| funders[1].display_name | Japan Society for the Promotion of Science |
| funders[2].id | https://openalex.org/F4320334789 |
| funders[2].ror | https://ror.org/00097mb19 |
| funders[2].display_name | Japan Science and Technology Agency |
| funders[3].id | https://openalex.org/F4320338075 |
| funders[3].ror | https://ror.org/00097mb19 |
| funders[3].display_name | Core Research for Evolutional Science and Technology |
| is_xpac | False |
| apc_list.value | 1890 |
| apc_list.currency | EUR |
| apc_list.value_usd | 2190 |
| apc_paid.value | 1890 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 2190 |
| concepts[0].id | https://openalex.org/C175369904 |
| concepts[0].level | 3 |
| concepts[0].score | 0.6641866564750671 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q208395 |
| concepts[0].display_name | Spheroid |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.39220476150512695 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C11413529 |
| concepts[2].level | 1 |
| concepts[2].score | 0.3691263198852539 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[2].display_name | Algorithm |
| concepts[3].id | https://openalex.org/C154945302 |
| concepts[3].level | 1 |
| concepts[3].score | 0.34838593006134033 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[3].display_name | Artificial intelligence |
| concepts[4].id | https://openalex.org/C185592680 |
| concepts[4].level | 0 |
| concepts[4].score | 0.2519076466560364 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[4].display_name | Chemistry |
| concepts[5].id | https://openalex.org/C202751555 |
| concepts[5].level | 2 |
| concepts[5].score | 0.14328762888908386 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q221681 |
| concepts[5].display_name | In vitro |
| concepts[6].id | https://openalex.org/C55493867 |
| concepts[6].level | 1 |
| concepts[6].score | 0.07696163654327393 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q7094 |
| concepts[6].display_name | Biochemistry |
| keywords[0].id | https://openalex.org/keywords/spheroid |
| keywords[0].score | 0.6641866564750671 |
| keywords[0].display_name | Spheroid |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.39220476150512695 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/algorithm |
| keywords[2].score | 0.3691263198852539 |
| keywords[2].display_name | Algorithm |
| keywords[3].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[3].score | 0.34838593006134033 |
| keywords[3].display_name | Artificial intelligence |
| keywords[4].id | https://openalex.org/keywords/chemistry |
| keywords[4].score | 0.2519076466560364 |
| keywords[4].display_name | Chemistry |
| keywords[5].id | https://openalex.org/keywords/in-vitro |
| keywords[5].score | 0.14328762888908386 |
| keywords[5].display_name | In vitro |
| keywords[6].id | https://openalex.org/keywords/biochemistry |
| keywords[6].score | 0.07696163654327393 |
| keywords[6].display_name | Biochemistry |
| language | en |
| locations[0].id | doi:10.1038/s41598-023-41846-3 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S196734849 |
| locations[0].source.issn | 2045-2322 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2045-2322 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Scientific Reports |
| locations[0].source.host_organization | https://openalex.org/P4310319908 |
| locations[0].source.host_organization_name | Nature Portfolio |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319908 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.nature.com/articles/s41598-023-41846-3.pdf |
| 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 | Scientific Reports |
| locations[0].landing_page_url | https://doi.org/10.1038/s41598-023-41846-3 |
| locations[1].id | pmid:37717067 |
| 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 | Scientific reports |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/37717067 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:10505213 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| 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 | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | cc-by |
| locations[2].pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10505213/pdf/41598_2023_Article_41846.pdf |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Sci Rep |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10505213 |
| locations[3].id | pmh:oai:doaj.org/article:0a556fd5383e453a97db85576e2b0e7d |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306401280 |
| 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 | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].source.host_organization_lineage | |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023) |
| locations[3].landing_page_url | https://doaj.org/article/0a556fd5383e453a97db85576e2b0e7d |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5111145936 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Ibrahim Abd El-Sadek |
| authorships[0].countries | JP |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I146399215 |
| authorships[0].affiliations[0].raw_affiliation_string | Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan |
| authorships[0].institutions[0].id | https://openalex.org/I146399215 |
| authorships[0].institutions[0].ror | https://ror.org/02956yf07 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I146399215 |
| authorships[0].institutions[0].country_code | JP |
| authorships[0].institutions[0].display_name | University of Tsukuba |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ibrahim Abd El-Sadek |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan |
| authorships[1].author.id | https://openalex.org/A5051966982 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-1389-6697 |
| authorships[1].author.display_name | Larina Tzu‐Wei Shen |
| authorships[1].countries | JP |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I146399215 |
| authorships[1].affiliations[0].raw_affiliation_string | Clinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Ibaraki, 305-8575, Japan |
| authorships[1].institutions[0].id | https://openalex.org/I146399215 |
| authorships[1].institutions[0].ror | https://ror.org/02956yf07 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I146399215 |
| authorships[1].institutions[0].country_code | JP |
| authorships[1].institutions[0].display_name | University of Tsukuba |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Larina Tzu-Wei Shen |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Clinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Ibaraki, 305-8575, Japan |
| authorships[2].author.id | https://openalex.org/A5100557857 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Tomoko Mori |
| authorships[2].countries | JP |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I146399215 |
| authorships[2].affiliations[0].raw_affiliation_string | Clinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Ibaraki, 305-8575, Japan |
| authorships[2].institutions[0].id | https://openalex.org/I146399215 |
| authorships[2].institutions[0].ror | https://ror.org/02956yf07 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I146399215 |
| authorships[2].institutions[0].country_code | JP |
| authorships[2].institutions[0].display_name | University of Tsukuba |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Tomoko Mori |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Clinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Ibaraki, 305-8575, Japan |
| authorships[3].author.id | https://openalex.org/A5062586878 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-6614-3640 |
| authorships[3].author.display_name | Shuichi Makita |
| authorships[3].countries | JP |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I146399215 |
| authorships[3].affiliations[0].raw_affiliation_string | Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan |
| authorships[3].institutions[0].id | https://openalex.org/I146399215 |
| authorships[3].institutions[0].ror | https://ror.org/02956yf07 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I146399215 |
| authorships[3].institutions[0].country_code | JP |
| authorships[3].institutions[0].display_name | University of Tsukuba |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Shuichi Makita |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan |
| authorships[4].author.id | https://openalex.org/A5070392413 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-5752-9963 |
| authorships[4].author.display_name | Pradipta Mukherjee |
| authorships[4].countries | JP |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I146399215 |
| authorships[4].affiliations[0].raw_affiliation_string | Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan |
| authorships[4].institutions[0].id | https://openalex.org/I146399215 |
| authorships[4].institutions[0].ror | https://ror.org/02956yf07 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I146399215 |
| authorships[4].institutions[0].country_code | JP |
| authorships[4].institutions[0].display_name | University of Tsukuba |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Pradipta Mukherjee |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan |
| authorships[5].author.id | https://openalex.org/A5050549892 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-6422-9547 |
| authorships[5].author.display_name | Antonia Lichtenegger |
| authorships[5].countries | AT |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I76134821 |
| authorships[5].affiliations[0].raw_affiliation_string | Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, 4L, 1090, Vienna, Austria |
| authorships[5].institutions[0].id | https://openalex.org/I76134821 |
| authorships[5].institutions[0].ror | https://ror.org/05n3x4p02 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I76134821 |
| authorships[5].institutions[0].country_code | AT |
| authorships[5].institutions[0].display_name | Medical University of Vienna |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Antonia Lichtenegger |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, 4L, 1090, Vienna, Austria |
| authorships[6].author.id | https://openalex.org/A5108666197 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Satoshi Matsusaka |
| authorships[6].countries | JP |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I146399215 |
| authorships[6].affiliations[0].raw_affiliation_string | Clinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Ibaraki, 305-8575, Japan |
| authorships[6].institutions[0].id | https://openalex.org/I146399215 |
| authorships[6].institutions[0].ror | https://ror.org/02956yf07 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I146399215 |
| authorships[6].institutions[0].country_code | JP |
| authorships[6].institutions[0].display_name | University of Tsukuba |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Satoshi Matsusaka |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Clinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Ibaraki, 305-8575, Japan |
| authorships[7].author.id | https://openalex.org/A5021546883 |
| authorships[7].author.orcid | https://orcid.org/0000-0003-1645-7948 |
| authorships[7].author.display_name | Yoshiaki Yasuno |
| authorships[7].countries | JP |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I146399215 |
| authorships[7].affiliations[0].raw_affiliation_string | Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan |
| authorships[7].institutions[0].id | https://openalex.org/I146399215 |
| authorships[7].institutions[0].ror | https://ror.org/02956yf07 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I146399215 |
| authorships[7].institutions[0].country_code | JP |
| authorships[7].institutions[0].display_name | University of Tsukuba |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Yoshiaki Yasuno |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.nature.com/articles/s41598-023-41846-3.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Label-free drug response evaluation of human derived tumor spheroids using three-dimensional dynamic optical coherence tomography |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11569 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2204 |
| primary_topic.subfield.display_name | Biomedical Engineering |
| primary_topic.display_name | Optical Coherence Tomography Applications |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2748952813, https://openalex.org/W2050956753, https://openalex.org/W2184533732, https://openalex.org/W2034330200, https://openalex.org/W3045873720, https://openalex.org/W2111152401, https://openalex.org/W2906127908, https://openalex.org/W2408054456, https://openalex.org/W3170737935 |
| cited_by_count | 27 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 15 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 9 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 3 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1038/s41598-023-41846-3 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S196734849 |
| best_oa_location.source.issn | 2045-2322 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2045-2322 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Scientific Reports |
| best_oa_location.source.host_organization | https://openalex.org/P4310319908 |
| best_oa_location.source.host_organization_name | Nature Portfolio |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319908 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.nature.com/articles/s41598-023-41846-3.pdf |
| 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 | Scientific Reports |
| best_oa_location.landing_page_url | https://doi.org/10.1038/s41598-023-41846-3 |
| primary_location.id | doi:10.1038/s41598-023-41846-3 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S196734849 |
| primary_location.source.issn | 2045-2322 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2045-2322 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Scientific Reports |
| primary_location.source.host_organization | https://openalex.org/P4310319908 |
| primary_location.source.host_organization_name | Nature Portfolio |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319908 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.nature.com/articles/s41598-023-41846-3.pdf |
| 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 | Scientific Reports |
| primary_location.landing_page_url | https://doi.org/10.1038/s41598-023-41846-3 |
| publication_date | 2023-09-16 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W3128646645, https://openalex.org/W3165720345, https://openalex.org/W2553948338, https://openalex.org/W2938388393, https://openalex.org/W3134164720, https://openalex.org/W3214730896, https://openalex.org/W2023300542, https://openalex.org/W2114229735, https://openalex.org/W2094454542, https://openalex.org/W2746942795, https://openalex.org/W2532618757, https://openalex.org/W3176479372, https://openalex.org/W2751798174, https://openalex.org/W1502025781, https://openalex.org/W2913690347, https://openalex.org/W1972669686, https://openalex.org/W2772195672, https://openalex.org/W2971675399, https://openalex.org/W2553124041, https://openalex.org/W2944718234, https://openalex.org/W4297678441, https://openalex.org/W4211196646, https://openalex.org/W2756182653, https://openalex.org/W3163408651, https://openalex.org/W3171058352, https://openalex.org/W4283278569, https://openalex.org/W2311775327, https://openalex.org/W2594594403, https://openalex.org/W2992473450, https://openalex.org/W3042446393, https://openalex.org/W3016528875, https://openalex.org/W3089868200, https://openalex.org/W4281644574, https://openalex.org/W3011857147, https://openalex.org/W3198801194, https://openalex.org/W4224218891, https://openalex.org/W4281868156, https://openalex.org/W2101698988, https://openalex.org/W4382337862, https://openalex.org/W3135186152, https://openalex.org/W3201992509, https://openalex.org/W2046655465, https://openalex.org/W2154747925, https://openalex.org/W3194916623, https://openalex.org/W1549846058, https://openalex.org/W2097559237, https://openalex.org/W2091327765, https://openalex.org/W2338383776, https://openalex.org/W2414236267, https://openalex.org/W3154882219, https://openalex.org/W2037689935, https://openalex.org/W3208777292, https://openalex.org/W2584644708, https://openalex.org/W2136445803, https://openalex.org/W2940091552, https://openalex.org/W1642592182, https://openalex.org/W2096526911, https://openalex.org/W2084134747, https://openalex.org/W2894850729, https://openalex.org/W2075221466, https://openalex.org/W2000744297, https://openalex.org/W2272315791, https://openalex.org/W2954592451, https://openalex.org/W2318728739, https://openalex.org/W2529128926, https://openalex.org/W1963743896, https://openalex.org/W2022802694, https://openalex.org/W2164585663, https://openalex.org/W2784017271, https://openalex.org/W1971170954, https://openalex.org/W4392680977, https://openalex.org/W4392680941, https://openalex.org/W4392757721, https://openalex.org/W3101644935, https://openalex.org/W3105116091 |
| referenced_works_count | 75 |
| abstract_inverted_index.) | 107 |
| abstract_inverted_index.0 | 58 |
| abstract_inverted_index.6 | 74 |
| abstract_inverted_index.A | 76 |
| abstract_inverted_index.a | 82 |
| abstract_inverted_index.1, | 61, 71 |
| abstract_inverted_index.10 | 63 |
| abstract_inverted_index.3, | 72 |
| abstract_inverted_index.In | 134 |
| abstract_inverted_index.at | 4 |
| abstract_inverted_index.by | 16 |
| abstract_inverted_index.of | 9, 49, 128, 132, 161, 169, 174, 178 |
| abstract_inverted_index.to | 89, 111 |
| abstract_inverted_index.LIV | 117 |
| abstract_inverted_index.OCT | 78, 99 |
| abstract_inverted_index.The | 22, 34, 53, 164 |
| abstract_inverted_index.and | 13, 29, 36, 45, 62, 66, 73, 97, 118, 139, 151, 182, 185 |
| abstract_inverted_index.can | 189 |
| abstract_inverted_index.for | 171 |
| abstract_inverted_index.may | 156 |
| abstract_inverted_index.the | 46, 67, 91, 113, 129, 149, 162, 167, 172 |
| abstract_inverted_index.two | 130 |
| abstract_inverted_index.was | 87 |
| abstract_inverted_index.μM | 64 |
| abstract_inverted_index.0.1, | 60 |
| abstract_inverted_index.LIV, | 138 |
| abstract_inverted_index.OCDS | 119, 140 |
| abstract_inverted_index.PTX) | 44 |
| abstract_inverted_index.This | 1 |
| abstract_inverted_index.aims | 3 |
| abstract_inverted_index.cell | 180 |
| abstract_inverted_index.drug | 14, 152, 175, 183, 192 |
| abstract_inverted_index.late | 98 |
| abstract_inverted_index.scan | 90 |
| abstract_inverted_index.that | 187 |
| abstract_inverted_index.used | 88, 110 |
| abstract_inverted_index.were | 39, 55, 70, 109 |
| abstract_inverted_index.with | 41, 57, 81 |
| abstract_inverted_index.(LIV) | 96 |
| abstract_inverted_index.(OCDS | 103 |
| abstract_inverted_index.D-OCT | 170, 188 |
| abstract_inverted_index.HT-29 | 37 |
| abstract_inverted_index.MCF-7 | 35 |
| abstract_inverted_index.These | 154 |
| abstract_inverted_index.among | 148 |
| abstract_inverted_index.colon | 30 |
| abstract_inverted_index.days. | 75 |
| abstract_inverted_index.decay | 101 |
| abstract_inverted_index.drugs | 54 |
| abstract_inverted_index.human | 25 |
| abstract_inverted_index.speed | 102 |
| abstract_inverted_index.study | 2, 23 |
| abstract_inverted_index.tumor | 11, 114 |
| abstract_inverted_index.types | 15, 131, 184 |
| abstract_inverted_index.$$_l$$ | 104, 120, 141 |
| abstract_inverted_index.SN-38, | 51 |
| abstract_inverted_index.action | 159 |
| abstract_inverted_index.active | 47 |
| abstract_inverted_index.breast | 26 |
| abstract_inverted_index.cancer | 27, 31 |
| abstract_inverted_index.drugs. | 163 |
| abstract_inverted_index.images | 123 |
| abstract_inverted_index.raster | 84 |
| abstract_inverted_index.showed | 145, 166 |
| abstract_inverted_index.types. | 153 |
| abstract_inverted_index.(HT-29) | 32 |
| abstract_inverted_index.(MCF-7) | 28 |
| abstract_inverted_index.(Taxol; | 43 |
| abstract_inverted_index.applied | 56 |
| abstract_inverted_index.dynamic | 17 |
| abstract_inverted_index.optical | 18 |
| abstract_inverted_index.perform | 190 |
| abstract_inverted_index.results | 155, 165 |
| abstract_inverted_index.suggest | 186 |
| abstract_inverted_index.treated | 40 |
| abstract_inverted_index.(D-OCT). | 21 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.equipped | 80 |
| abstract_inverted_index.indicate | 157 |
| abstract_inverted_index.involved | 24 |
| abstract_inverted_index.patterns | 127, 177 |
| abstract_inverted_index.protocol | 86 |
| abstract_inverted_index.repeated | 83 |
| abstract_inverted_index.response | 126, 176 |
| abstract_inverted_index.scanning | 85 |
| abstract_inverted_index.spheroid | 115, 136, 150 |
| abstract_inverted_index.testing. | 193 |
| abstract_inverted_index.variance | 95 |
| abstract_inverted_index.<mml:math | 105, 121, 142 |
| abstract_inverted_index.addition, | 135 |
| abstract_inverted_index.coherence | 19 |
| abstract_inverted_index.different | 10, 125, 146, 158, 179 |
| abstract_inverted_index.durations | 69 |
| abstract_inverted_index.dynamics. | 116 |
| abstract_inverted_index.intensity | 94 |
| abstract_inverted_index.spheroids | 12, 38, 181 |
| abstract_inverted_index.treatment | 68 |
| abstract_inverted_index.visualize | 112 |
| abstract_inverted_index.(control), | 59 |
| abstract_inverted_index.algorithms | 108 |
| abstract_inverted_index.assessment | 8 |
| abstract_inverted_index.evaluation | 173 |
| abstract_inverted_index.irinotecan | 50 |
| abstract_inverted_index.label-free | 6 |
| abstract_inverted_index.mechanisms | 160 |
| abstract_inverted_index.metabolite | 48 |
| abstract_inverted_index.microscope | 79 |
| abstract_inverted_index.paclitaxel | 42 |
| abstract_inverted_index.spheroids. | 33, 92, 133 |
| abstract_inverted_index.tomography | 20 |
| abstract_inverted_index.visualized | 124 |
| abstract_inverted_index.Logarithmic | 93 |
| abstract_inverted_index.anti-cancer | 191 |
| abstract_inverted_index.correlation | 100 |
| abstract_inverted_index.feasibility | 168 |
| abstract_inverted_index.morphology, | 137 |
| abstract_inverted_index.swept-source | 77 |
| abstract_inverted_index.time-courses | 147 |
| abstract_inverted_index.demonstrating | 5 |
| abstract_inverted_index.respectively. | 52 |
| abstract_inverted_index.concentrations | 65 |
| abstract_inverted_index.quantification | 144 |
| abstract_inverted_index.drug-response-patterns | 7 |
| abstract_inverted_index.xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mrow/><mml:mi>l</mml:mi></mml:msub></mml:math> | 106, 122, 143 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8600000143051147 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.93579056 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |