{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T06:17:46Z","timestamp":1772173066787,"version":"3.50.1"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1010211","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T00:00:00Z","timestamp":1657843200000}}],"reference-count":61,"publisher":"Public Library of Science (PLoS)","issue":"7","license":[{"start":{"date-parts":[[2022,7,5]],"date-time":"2022-07-05T00:00:00Z","timestamp":1656979200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"agence national de la recherche","award":["ANR-11-EQPX-0029"],"award-info":[{"award-number":["ANR-11-EQPX-0029"]}]},{"name":"agence national de la recherche","award":["ANR-10-INBS-04"],"award-info":[{"award-number":["ANR-10-INBS-04"]}]},{"name":"fondation pour la recherche medical","award":["DBI20141231328"],"award-info":[{"award-number":["DBI20141231328"]}]},{"name":"agence national de la recherche","award":["ANR-10-LABX-65"],"award-info":[{"award-number":["ANR-10-LABX-65"]}]},{"name":"agence national de la recherche","award":["ANR-18-IAHU-01"],"award-info":[{"award-number":["ANR-18-IAHU-01"]}]},{"DOI":"10.13039\/100010663","name":"H2020 European Research Council","doi-asserted-by":"publisher","award":["951330 HOPE"],"award-info":[{"award-number":["951330 HOPE"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>\n                    Tridimensional microscopy and algorithms for automated segmentation and tracing are revolutionizing neuroscience through the generation of growing libraries of neuron reconstructions. Innovative computational methods are needed to analyze these neuronal traces. In particular, means to characterize the geometric properties of traced neurites along their trajectory have been lacking. Here, we propose a local tridimensional (3D) scale metric derived from differential geometry, measuring for each point of a curve the characteristic length where it is fully 3D as opposed to being embedded in a 2D plane or 1D line. The larger this metric is and the more complex the local 3D loops and turns of the curve are. Available through the GeNePy3D open-source Python quantitative geometry library (\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/genepy3d.gitlab.io\" xlink:type=\"simple\">https:\/\/genepy3d.gitlab.io<\/jats:ext-link>\n                    ), this approach termed nAdder offers new means of describing and comparing axonal and dendritic arbors. We validate this metric on simulated and real traces. By reanalysing a published zebrafish larva whole brain dataset, we show its ability to characterize different population of commissural axons, distinguish afferent connections to a target region and differentiate portions of axons and dendrites according to their behavior, shedding new light on the stereotypical nature of neurites\u2019 local geometry.\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1010211","type":"journal-article","created":{"date-parts":[[2022,7,5]],"date-time":"2022-07-05T14:16:48Z","timestamp":1657030608000},"page":"e1010211","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":1,"title":["nAdder: A scale-space approach for the 3D analysis of neuronal traces"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9916-1351","authenticated-orcid":true,"given":"Minh Son","family":"Phan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6105-4219","authenticated-orcid":true,"given":"Katherine","family":"Matho","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2082-8214","authenticated-orcid":true,"given":"Emmanuel","family":"Beaurepaire","sequence":"additional","affiliation":[]},{"given":"Jean","family":"Livet","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1326-6305","authenticated-orcid":true,"given":"Anatole","family":"Chessel","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2022,7,5]]},"reference":[{"issue":"4","key":"pcbi.1010211.ref001","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1038\/nrn1885","article-title":"Mobilizing the base of neuroscience data: the case of neuronal morphologies","volume":"7","author":"GA Ascoli","year":"2006","journal-title":"Nature Reviews Neuroscience"},{"issue":"35","key":"pcbi.1010211.ref002","doi-asserted-by":"crossref","first-page":"9247","DOI":"10.1523\/JNEUROSCI.2055-07.2007","article-title":"NeuroMorpho.Org: A Central Resource for Neuronal Morphologies","volume":"27","author":"GA Ascoli","year":"2007","journal-title":"Journal of Neuroscience"},{"issue":"7461","key":"pcbi.1010211.ref003","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1038\/nature12346","article-title":"Connectomic reconstruction of the inner plexiform layer in the mouse retina","volume":"500","author":"M Helmstaedter","year":"2013","journal-title":"Nature"},{"issue":"3","key":"pcbi.1010211.ref004","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1016\/j.cell.2015.06.054","article-title":"Saturated Reconstruction of a Volume of Neocortex","volume":"162","author":"N Kasthuri","year":"2015","journal-title":"Cell"},{"issue":"6469","key":"pcbi.1010211.ref005","doi-asserted-by":"crossref","DOI":"10.1126\/science.aay3134","article-title":"Dense connectomic reconstruction in layer 4 of the somatosensory cortex","volume":"366","author":"A Motta","year":"2019","journal-title":"Science"},{"key":"pcbi.1010211.ref006","article-title":"A connectomic study of a petascale fragment of human cerebral cortex","author":"A Shapson-Coe","year":"2021","journal-title":"bioRxiv"},{"key":"pcbi.1010211.ref007","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.neuroimage.2013.02.005","article-title":"Continuously tracing brain-wide long-distance axonal projections in mice at a one-micron voxel resolution","volume":"74","author":"H Gong","year":"2013","journal-title":"NeuroImage"},{"issue":"1","key":"pcbi.1010211.ref008","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/j.cell.2019.07.042","article-title":"Reconstruction of 1,000 Projection Neurons Reveals New Cell Types and Organization of Long-Range Connectivity in the Mouse Brain","volume":"179","author":"J Winnubst","year":"2019","journal-title":"Cell"},{"issue":"1","key":"pcbi.1010211.ref009","first-page":"1","article-title":"Multicolor multiscale brain imaging with chromatic multiphoton serial microscopy","volume":"10","author":"L Abdeladim","year":"2019","journal-title":"Nature Communications"},{"issue":"11","key":"pcbi.1010211.ref010","doi-asserted-by":"crossref","first-page":"3145","DOI":"10.1016\/j.celrep.2019.02.040","article-title":"Genetic Single Neuron Anatomy Reveals Fine Granularity of Cortical Axo-Axonic Cells","volume":"26","author":"X Wang","year":"2019","journal-title":"Cell Reports"},{"key":"pcbi.1010211.ref011","article-title":"Cellular Anatomy of the Mouse Primary Motor Cortex","author":"R Mu\u00f1oz-Casta\u00f1eda","year":"2020","journal-title":"bioRxiv"},{"issue":"1","key":"pcbi.1010211.ref012","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.neuron.2019.04.034","article-title":"A Cellular-Resolution Atlas of the Larval Zebrafish Brain","volume":"103","author":"M Kunst","year":"2019","journal-title":"Neuron"},{"key":"pcbi.1010211.ref013","article-title":"A Connectome of the Adult Drosophila Central Brain","author":"CS Xu","year":"2020","journal-title":"bioRxiv"},{"key":"pcbi.1010211.ref014","doi-asserted-by":"crossref","DOI":"10.3389\/fbioe.2019.00202","article-title":"Gotta Trace \u2018em All: A Mini-Review on Tools and Procedures for Segmenting Single Neurons Toward Deciphering the Structural Connectome","volume":"7","author":"C Magliaro","year":"2019","journal-title":"Frontiers in Bioengineering and Biotechnology"},{"issue":"8","key":"pcbi.1010211.ref015","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1038\/s41592-018-0049-4","article-title":"High-precision automated reconstruction of neurons with flood-filling networks","volume":"15","author":"M Januszewski","year":"2018","journal-title":"Nature Methods"},{"issue":"3","key":"pcbi.1010211.ref016","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1007\/s12021-018-9407-8","article-title":"Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation","volume":"17","author":"M Radojevi\u0107","year":"2019","journal-title":"Neuroinformatics"},{"issue":"10","key":"pcbi.1010211.ref017","doi-asserted-by":"crossref","DOI":"10.1242\/jeb.164954","article-title":"Of what use is connectomics? A personal perspective on the Drosophila connectome","volume":"221","author":"IA Meinertzhagen","year":"2018","journal-title":"Journal of Experimental Biology"},{"key":"pcbi.1010211.ref018","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.conb.2018.12.012","article-title":"Neuronal cell types in the fly: single-cell anatomy meets single-cell genomics","volume":"56","author":"AS Bates","year":"2019","journal-title":"Current Opinion in Neurobiology"},{"key":"pcbi.1010211.ref019","article-title":"A multimodal cell census and atlas of the mammalian primary motor cortex","author":"RS Adkins","year":"2020","journal-title":"bioRxiv"},{"key":"pcbi.1010211.ref020","doi-asserted-by":"crossref","first-page":"e53350","DOI":"10.7554\/eLife.53350","article-title":"The natverse, a versatile toolbox for combining and analysing neuroanatomical data","volume":"9","author":"AS Bates","year":"2020","journal-title":"eLife"},{"issue":"8","key":"pcbi.1010211.ref021","doi-asserted-by":"crossref","first-page":"e1000877","DOI":"10.1371\/journal.pcbi.1000877","article-title":"One Rule to Grow Them All: A General Theory of Neuronal Branching and Its Practical Application","volume":"6","author":"H Cuntz","year":"2010","journal-title":"PLOS Computational Biology"},{"key":"pcbi.1010211.ref022","article-title":"SNT: A Unifying Toolbox for Quantification of Neuronal Anatomy","author":"C Arshadi","year":"2020","journal-title":"bioRxiv"},{"key":"pcbi.1010211.ref023","doi-asserted-by":"crossref","DOI":"10.3389\/fninf.2021.704627","article-title":"Fitting Splines to Axonal Arbors Quantifies Relationship Between Branch Order and Geometry","volume":"15","author":"TL Athey","year":"2021","journal-title":"Frontiers in Neuroinformatics"},{"issue":"7","key":"pcbi.1010211.ref024","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1038\/nrn2402","article-title":"Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex","volume":"9","author":"Petilla Interneuron Nomenclature Group","year":"2008","journal-title":"Nature Reviews Neuroscience"},{"issue":"1","key":"pcbi.1010211.ref025","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1186\/s12859-018-2470-1","article-title":"Towards a supervised classification of neocortical interneuron morphologies","volume":"19","author":"B Mihaljevi\u0107","year":"2018","journal-title":"BMC Bioinformatics"},{"issue":"1","key":"pcbi.1010211.ref026","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1186\/s13064-018-0118-5","article-title":"DSCAM differentially modulates pre- and postsynaptic structural and functional central connectivity during visual system wiring","volume":"13","author":"RA Santos","year":"2018","journal-title":"Neural Development"},{"key":"pcbi.1010211.ref027","doi-asserted-by":"crossref","first-page":"e12059","DOI":"10.7554\/eLife.12059","article-title":"Quantitative neuroanatomy for connectomics in Drosophila","volume":"5","author":"CM Schneider-Mizell","year":"2016","journal-title":"eLife"},{"key":"pcbi.1010211.ref028","doi-asserted-by":"crossref","first-page":"e29089","DOI":"10.7554\/eLife.29089","article-title":"Conserved neural circuit structure across Drosophila larval development revealed by comparative connectomics","volume":"6","author":"S Gerhard","year":"2017","journal-title":"eLife"},{"issue":"3","key":"pcbi.1010211.ref029","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1016\/S0896-6273(01)00383-X","article-title":"Asynchronous synapse elimination in neonatal motor units: studies using GFP transgenic mice","volume":"31","author":"CR Keller-Peck","year":"2001","journal-title":"Neuron"},{"issue":"2","key":"pcbi.1010211.ref030","doi-asserted-by":"crossref","first-page":"e1000032","DOI":"10.1371\/journal.pbio.1000032","article-title":"The interscutularis muscle connectome","volume":"7","author":"J Lu","year":"2009","journal-title":"PLoS Biol"},{"key":"pcbi.1010211.ref031","volume-title":"Geometric Partial Differential Equations and Image Analysis","author":"G Sapiro","year":"2006"},{"key":"pcbi.1010211.ref032","doi-asserted-by":"crossref","unstructured":"Cao F. Geometric Curve Evolution and Image Processing. Lecture Notes in Mathematics. Berlin Heidelberg: Springer-Verlag; 2003. Available from: https:\/\/www.springer.com\/gp\/book\/9783540004028.","DOI":"10.1007\/b10404"},{"issue":"3","key":"pcbi.1010211.ref033","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1109\/34.49051","article-title":"Scale-space for discrete signals","volume":"12","author":"T Lindeberg","year":"1990","journal-title":"IEEE Trans PAMI"},{"issue":"6","key":"pcbi.1010211.ref034","doi-asserted-by":"crossref","first-page":"1630","DOI":"10.1111\/j.1467-8659.2011.01848.x","article-title":"Scale Space Meshing of Raw Data Point Sets","volume":"30","author":"J Digne","year":"2011","journal-title":"Computer Graphics Forum"},{"key":"pcbi.1010211.ref035","first-page":"298","volume-title":"CVPR","author":"F Mokhtarian","year":"1988"},{"key":"pcbi.1010211.ref036","doi-asserted-by":"crossref","unstructured":"Phan MS, Chessel A. GeNePy3D: a quantitative geometry python toolbox for large scale bioimaging [version 1; peer review: awaiting peer review]. F1000Research. 2020;9 (1374).","DOI":"10.12688\/f1000research.27395.1"},{"key":"pcbi.1010211.ref037","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1016\/j.jvcir.2016.04.010","article-title":"Parsing 3D motion trajectory for gesture recognition","volume":"38","author":"J Yang","year":"2016","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"pcbi.1010211.ref038","first-page":"1","article-title":"Motion recognition based on concept learning","author":"X Ma","year":"2017","journal-title":"I2MTC"},{"issue":"1","key":"pcbi.1010211.ref039","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.1038\/s41467-019-09515-0","article-title":"Precise segmentation of densely interweaving neuron clusters using G-Cut","volume":"10","author":"R Li","year":"2019","journal-title":"Nature Communications"},{"issue":"2","key":"pcbi.1010211.ref040","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.visres.2010.08.039","article-title":"Morphologies of mouse retinal ganglion cells expressing transcription factors Brn3a, Brn3b, and Brn3c: analysis of wild type and mutant cells using genetically-directed sparse labeling","volume":"51","author":"TC Badea","year":"2011","journal-title":"Vision Research"},{"issue":"22","key":"pcbi.1010211.ref041","doi-asserted-by":"crossref","first-page":"9546","DOI":"10.1523\/JNEUROSCI.2977-12.2013","article-title":"Mature Purkinje Cells Require the Retinoic Acid-Related Orphan Receptor-\u03b1 (ROR\u03b1) to Maintain Climbing Fiber Mono-Innervation and Other Adult Characteristics","volume":"33","author":"XR Chen","year":"2013","journal-title":"Journal of Neuroscience"},{"issue":"10","key":"pcbi.1010211.ref042","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1016\/j.tins.2014.08.009","article-title":"Development and plasticity of commissural circuits: from locomotion to brain repair","volume":"37","author":"A Ch\u00e9dotal","year":"2014","journal-title":"Trends in Neurosciences"},{"issue":"1","key":"pcbi.1010211.ref043","doi-asserted-by":"crossref","first-page":"3639","DOI":"10.1038\/ncomms4639","article-title":"Olfactory projectome in the zebrafish forebrain revealed by genetic single-neuron labelling","volume":"5","author":"N Miyasaka","year":"2014","journal-title":"Nature Communications"},{"key":"pcbi.1010211.ref044","doi-asserted-by":"crossref","unstructured":"Mackworth SK, Mokhtarian F. The renormalized curvature scale space and the evolution properties of planar curves. In: Proceedings CVPR\u201988: The Computer Society Conference on Computer Vision and Pattern Recognition; 1988. p. 318\u2013326.","DOI":"10.1109\/CVPR.1988.196255"},{"key":"pcbi.1010211.ref045","first-page":"1019","volume-title":"IJCAI","author":"AP Witkin","year":"1983"},{"issue":"1","key":"pcbi.1010211.ref046","doi-asserted-by":"crossref","first-page":"69","DOI":"10.4310\/jdg\/1214439902","article-title":"The heat equation shrinking convex plane curves","volume":"23","author":"M Gage","year":"1986","journal-title":"Journal of Differential Geometry"},{"issue":"2","key":"pcbi.1010211.ref047","doi-asserted-by":"crossref","first-page":"285","DOI":"10.4310\/jdg\/1214441371","article-title":"The heat equation shrinks embedded plane curves to round points","volume":"26","author":"MA Grayson","year":"1987","journal-title":"Journal of Differential Geometry"},{"issue":"7","key":"pcbi.1010211.ref048","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1119\/1.4870398","article-title":"Simulation of the active Brownian motion of a microswimmer","volume":"82","author":"G Volpe","year":"2014","journal-title":"American Journal of Physics"},{"issue":"5","key":"pcbi.1010211.ref049","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1103\/PhysRev.36.823","article-title":"On the Theory of the Brownian Motion","volume":"36","author":"GE Uhlenbeck","year":"1930","journal-title":"Physical Review"},{"key":"pcbi.1010211.ref050","volume-title":"Information Retrieval","author":"CJV Rijsbergen","year":"1979","edition":"2"},{"key":"pcbi.1010211.ref051","doi-asserted-by":"crossref","first-page":"A39","DOI":"10.1051\/0004-6361\/201730618","article-title":"A posteriori noise estimation in variable data sets\u2014With applications to spectra and light curves","volume":"609","author":"S Czesla","year":"2018","journal-title":"Astronomy & Astrophysics"},{"key":"pcbi.1010211.ref052","unstructured":"Boor Cd. A Practical Guide to Splines. Applied Mathematical Sciences. New York: Springer-Verlag; 1978. Available from: https:\/\/www.springer.com\/gp\/book\/9780387953663."},{"issue":"3","key":"pcbi.1010211.ref053","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1130\/0016-7606(1945)56[275:EDOSAT]2.0.CO;2","article-title":"Erosional Development Of Streams And Their Drainage Basins; Hydrophysical Approach To Quantitative Morphology","volume":"56","author":"RE Horton","year":"1945","journal-title":"GSA Bulletin"},{"key":"pcbi.1010211.ref054","doi-asserted-by":"crossref","DOI":"10.1515\/9781400867431","volume-title":"The Motion of a Surface by Its Mean Curvature","author":"KA Brakke","year":"2015"},{"issue":"5","key":"pcbi.1010211.ref055","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1038\/nrm2679","article-title":"The trip of the tip: understanding the growth cone machinery","volume":"10","author":"LA Lowery","year":"2009","journal-title":"Nature reviews Molecular cell biology"},{"issue":"6","key":"pcbi.1010211.ref056","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1111\/boc.201800003","article-title":"Role of mechanical cues in shaping neuronal morphology and connectivity","volume":"110","author":"G Gangatharan","year":"2018","journal-title":"Biology of the Cell"},{"issue":"2","key":"pcbi.1010211.ref057","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/S0896-6273(00)80893-4","article-title":"Synapse Elimination and Indelible Memory","volume":"25","author":"JW Lichtman","year":"2000","journal-title":"Neuron"},{"key":"pcbi.1010211.ref058","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1146\/annurev-cellbio-100913-013038","article-title":"Sculpting neural circuits by axon and dendrite pruning","volume":"31","author":"MM Riccomagno","year":"2015","journal-title":"Annual review of cell and developmental biology"},{"key":"pcbi.1010211.ref059","volume-title":"Dense neuronal reconstruction through X-ray holographic nano-tomography","author":"AT Kuan","year":"2020"},{"issue":"1","key":"pcbi.1010211.ref060","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/ncomms9674","article-title":"A workflow to process 3D+ time microscopy images of developing organisms and reconstruct their cell lineage","volume":"7","author":"E Faure","year":"2016","journal-title":"Nature communications"},{"issue":"11","key":"pcbi.1010211.ref061","doi-asserted-by":"crossref","first-page":"7331","DOI":"10.1021\/acs.chemrev.6b00815","article-title":"Single particle tracking: from theory to biophysical applications","volume":"117","author":"H Shen","year":"2017","journal-title":"Chemical reviews"}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1010211","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T00:00:00Z","timestamp":1657843200000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1010211","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,28]],"date-time":"2024-09-28T10:47:18Z","timestamp":1727520438000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1010211"}},"subtitle":[],"editor":[{"given":"Virginie","family":"Uhlmann","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,7,5]]},"references-count":61,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2022,7,5]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1010211","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2020.06.01.127035","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,5]]}}}