{"doi":"10.1101/2021.11.26.467625","title":"Multiparametric quantitative phase imaging for real-time, single cell, drug screening in breast cancer","abstract":"Abstract Quantitative phase imaging (QPI) measures the growth rate of individual cells by quantifying changes in mass versus time. Here, we use the breast cancer cell lines MCF-7, BT-474, and MDA-MB-231 to validate QPI as a multiparametric approach for determining response to single-agent therapies. Our method allows for rapid determination of drug sensitivity, cytotoxicity, heterogeneity, and time of response for up to 100,000 individual cells or small clusters in a single experiment. We find that QPI EC 50 values are concordant with CellTiter-Glo (CTG), a gold standard metabolic endpoint assay. In addition, we apply multiparametric QPI to characterize cytostatic/cytotoxic and rapid/slow responses and track the emergence of resistant subpopulations. Thus, QPI reveals dynamic changes in response heterogeneity in addition to average population responses, a key advantage over endpoint viability or metabolic assays. Overall, multiparametric QPI reveals a rich picture of cell growth by capturing the dynamics of single-cell responses to candidate therapies.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2021,"id":216959,"datarank":0.33034337370437306,"base_score":1.6094379124341003,"endowment":1.6094379124341003,"self_citation_contribution":0.24141568686511508,"citation_network_contribution":0.08892768683925795,"self_endowment_contribution":0.24141568686511508,"citer_contribution":0.08892768683925795,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":3,"citers_with_citation_signal":3,"citers_with_endowment":3,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9501,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":571174,"name":"Tarek E. Moustafa","orcid":"0000-0001-5282-8246","position":1,"is_corresponding":false},{"id":634907,"name":"Andrew Butterfield","orcid":"0000-0002-2337-2101","position":2,"is_corresponding":false},{"id":299533,"name":"Sandra D. Scherer","orcid":"0000-0002-7943-8595","position":3,"is_corresponding":false},{"id":583906,"name":"Emilio Cortes-Sanchez","orcid":null,"position":4,"is_corresponding":false},{"id":813418,"name":"Tyler Bodily","orcid":"0000-0003-4808-9633","position":5,"is_corresponding":false},{"id":566372,"name":"Benjamin T. Spike","orcid":"0000-0002-0893-3302","position":6,"is_corresponding":false},{"id":307388,"name":"Bryan E. Welm","orcid":"0000-0002-1879-6612","position":7,"is_corresponding":false},{"id":32900,"name":"Philip S. Bernard","orcid":null,"position":8,"is_corresponding":false},{"id":443696,"name":"Thomas A. Zangle","orcid":"0000-0001-5899-3517","position":9,"is_corresponding":false},{"id":480699,"name":"Edward R. Polanco","orcid":"0000-0001-7388-962X","position":0,"is_corresponding":true}],"reference_count":44,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:53:15.868165Z","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":[]}