{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T16:10:21Z","timestamp":1790698221046,"version":"4.1.0"},"reference-count":35,"publisher":"American Chemical Society (ACS)","issue":"38","license":[{"start":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T00:00:00Z","timestamp":1789171200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/T026197\/1"],"award-info":[{"award-number":["EP\/T026197\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/W028786\/1"],"award-info":[{"award-number":["EP\/W028786\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/Z002567\/1"],"award-info":[{"award-number":["EP\/Z002567\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,9,29]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Monitoring pollen is important for crop productivity, plant breeding, and environmental forecasting, yet current approaches remain limited in throughput and physiological insight. Here, we combine single-shot plasma emission imaging with artificial intelligence for pollen morphology reconstruction and apparent hydration state classification. Plasma plumes generated during laser\u2013pollen interaction provide indirect measurements of pollen morphology, extending plasma-based analysis beyond conventional spectroscopic readouts. A conditional generative adversarial neural network reconstructed morphology from such plasma images, while chromaticity analysis revealed systematic color shifts between hydrated and dehydrated grains. A support vector machine using chromaticity histogram and scalar color features distinguished these groups with \u223c76% leave-one-out accuracy. The results suggest that plasma emission contains structural and hydration-associated information, supporting rapid pollen morphology inference and physiological phenotyping for agricultural and environmental monitoring.<\/jats:p>","DOI":"10.1021\/acsomega.6c07927","type":"journal-article","created":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T15:01:52Z","timestamp":1789225312000},"page":"58085-58090","source":"Crossref","is-referenced-by-count":0,"title":["Deep-Learning-Assisted\nSingle-Shot Plasma Emission\nImaging for Pollen Morphology Reconstruction and Apparent Hydration-State\nClassification"],"prefix":"10.1021","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4270-4247","authenticated-orcid":true,"given":"James A.","family":"Grant-Jacob","sequence":"first","affiliation":[{"name":"University of Southampton , , ,","place":["Southampton, GB, SO17 1BJ"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3636-1779","authenticated-orcid":true,"given":"Yuchen","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Southampton , , ,","place":["Southampton, GB, SO17 1BJ"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1784-1012","authenticated-orcid":true,"given":"Ben","family":"Mills","sequence":"additional","affiliation":[{"name":"University of Southampton , , ,","place":["Southampton, GB, SO17 1BJ"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,9,12]]},"reference":[{"issue":"1","key":"2026092911091150500_cit1","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/BF00984098","article-title":"Pollen Viability and Longevity: Practical, Ecological\nand Evolutionary Implications","volume":"222","author":"Dafni","year":"2000","journal-title":"Plant Syst. 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Plant\nSci."},{"issue":"11","key":"2026092911091150500_cit5","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1021\/acsestair.4c00124","article-title":"Ozone Uptake Kinetics and Implications\nfor the Extent\nof Modification of Airborne Pollen","volume":"1","author":"Simon","year":"2024","journal-title":"ACS EST\nAir"},{"issue":"18","key":"2026092911091150500_cit6","doi-asserted-by":"publisher","first-page":"4449","DOI":"10.1021\/jf205393x","article-title":"Insecticide Residues in Pollen and\nNectar of a Cucurbit Crop and\nTheir Potential Exposure to Pollinators","volume":"60","author":"Dively","year":"2012","journal-title":"J.\nAgric. Food Chem."},{"issue":"43","key":"2026092911091150500_cit7","doi-asserted-by":"publisher","first-page":"26600","DOI":"10.1073\/pnas.2011084117","article-title":"Mechanical\nDesign of Apertures and the Infolding of\nPollen Grain","volume":"117","author":"Boz\u030cic\u030c","year":"2020","journal-title":"Proc. Natl. Acad. Sci. 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Commun."},{"key":"2026092911091150500_cit34","unstructured":"Kingma, D. P.; Ba, J.\n          Adam: A Method for Stochastic\nOptimization\n          Int. Conf. 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