{"doi":"10.1101/2020.04.14.040691","title":"In vivo\n identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning","abstract":"SUMMARY
The in vivo detection of dead cells remains a major challenge due to technical hurdles. Here we present a novel method, where injection of fluorescent Milk fat globule-EGF factor 8 protein (MFG-E8) in vivo combined with imaging flow cytometry and deep learning allows the identification of dead cells based on their surface exposure of phosphatidylserine (PS) and other image parameters. A convolutional autoencoder (CAE) was trained on defined pictures and successfully used to identify apoptotic cells in vivo . However, unexpectedly, these analyses also revealed that the great majority of PS + cells were not apoptotic, but rather live cells associated with PS + extracellular vesicles (EVs). During acute viral infection apoptotic cells increased slightly, while up to 30% of lymphocytes were decorated with PS + EVs of Dendritic cell exosomal origin. The combination of recombinant fluorescent MFG-E8 and the CAE-method will greatly facilitate analyses of cell death and EVs in vivo .","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2020,"id":3231,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.0452,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-04-14","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":34847,"name":"Lisa Rausch","orcid":"0000-0001-8709-0288","position":2,"is_corresponding":false},{"id":34848,"name":"Ashretha Latha","orcid":null,"position":3,"is_corresponding":false},{"id":34849,"name":"Martina Schifferer","orcid":"0000-0002-0500-8218","position":4,"is_corresponding":false},{"id":34850,"name":"Tilman Kurz","orcid":null,"position":5,"is_corresponding":false},{"id":34851,"name":"Agnieszka Foltyn-Arfa Kia","orcid":null,"position":6,"is_corresponding":false},{"id":34852,"name":"Mikael Simons","orcid":"0000-0001-5329-192X","position":7,"is_corresponding":false},{"id":42,"name":"Fabian Joachim Theis","orcid":"0000-0002-2419-1943","position":8,"is_corresponding":false},{"id":34853,"name":"Thomas Brocker","orcid":"0000-0001-7060-5433","position":9,"is_corresponding":false},{"id":34854,"name":"NikolaosâKosmas Chlis","orcid":"0000-0002-6712-8346","position":10,"is_corresponding":false},{"id":34845,"name":"Jan Kranich","orcid":"0000-0002-9928-4132","position":0,"is_corresponding":true}],"reference_count":74,"raw_metadata":null,"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}