{"doi":"10.1016/j.jneumeth.2008.01.007","title":"Automatic positioning and sensing microelectrode array (APSMEA) for multi-site electrophysiological recordings","abstract":null,"journal":"Journal of Neuroscience Methods","year":2008,"id":623211,"datarank":0.3453877639491069,"base_score":2.302585092994046,"endowment":2.302585092994046,"self_citation_contribution":0.3453877639491069,"citation_network_contribution":0.0,"self_endowment_contribution":0.3453877639491069,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":9,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1610562,"name":"Guangxin Xiang","orcid":null,"position":1,"is_corresponding":false},{"id":765695,"name":"Lihua Huang","orcid":"0000-0002-9205-5580","position":2,"is_corresponding":false},{"id":1610563,"name":"Zhongyao Yu","orcid":null,"position":3,"is_corresponding":false},{"id":254060,"name":"Jing Cheng","orcid":"0000-0002-5379-2203","position":4,"is_corresponding":false},{"id":1610564,"name":"Wanli Xing","orcid":null,"position":5,"is_corresponding":false},{"id":477666,"name":"Yuxiang Zhou","orcid":"0000-0002-3462-2305","position":6,"is_corresponding":false},{"id":1610561,"name":"Liangbin Pan","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Automatic positioning and sensing microelectrode array (APSMEA) for multi-site electrophysiological recordings","abstract":"Technological improvement of measurements for the electrical recordings from individual neurons within network is essential in neuroscience today. Here, we present a novel automatic positioning and sensing microelectrode array (APSMEA), which simultaneously positioned desired number of neurons onto 48 recording microelectrodes automatically and scathelessly by use of negative dielectrophoretic (DEP) forces, and facilitated the measurement of the electrophysiological activities of neuronal populations after functional synaptic connections formed between neurons. The results of multi-site electrophysiological recordings during drug administration also demonstrated the application of APSMEA in bioassay with cultured rat cortical neurons. Therefore, this device should benefit the investigation of neuronal networks in vitro with more comprehensive electrophysiological experiments, and also promise the possibility of a modular device for both cell manipulation and cell-based biosensor on microchip.","is_dataset_classified":null,"base_score":2.302585092994046,"endowment":2.302585092994046,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"18295341","pmcid":null,"openalex_id":"https://openalex.org/W2054207427","authors":[],"funders":[],"total_grants":0,"fwci":0.3766,"citation_percentile":0.54367256,"influential_citations":0,"citation_trend":[{"year":2012,"count":3},{"year":2015,"count":1},{"year":2017,"count":2}],"oa_status":"closed","license":"https://doi.org/10.15223/policy-004","oa_locations":[{"url":"https://api.elsevier.com/content/article/PII:S0165027008000344?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S0165027008000344?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.jneumeth.2008.01.007","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/18295341","host_type":"repository"}],"fields_of_study":["Neuroscience and Neural Engineering","Microfluidic and Bio-sensing Technologies","Neural dynamics and brain function","Animals","Biosensing Techniques","Cells, Cultured","Electrophoresis","Electrophysiology","Microcomputers","Microelectrodes","Nerve Net","Neurons","Rats"],"mesh_terms":["Animals","Cells, Cultured","Electrophoresis","Electrophysiology","Microcomputers","Microelectrodes","Nerve Net","Neurons","Biosensing Techniques","Rats"],"keywords":["Electrophysiology","Microelectrode","Multielectrode array","Neuroscience","Modular design","Premovement neuronal activity","Computer science","Biology","Chemistry","Electrode"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-03T22:48:06.874745Z","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":[]}