{"doi":"10.1063/5.0301435","title":"Three-dimensional forward-scattering imaging flow cytometry system for single-cell analysis","abstract":"Label-free single-cell 3D imaging is essential for accurate phenotyping by minimizing perturbations to native cellular states and facilitating downstream molecular analyses. Among the available modalities, 3D forward-scattering (dark-field) imaging offers the richest subcellular details but faces challenges from strong transmitted-beam interference. We present a high-throughput 3D forward-scattering imaging flow cytometry system employing optical needle-beam illumination, linear micro-mirror arrays for axial scatter detection, and spatiotemporal deconvolution algorithms. Experimental validations with microstructures, hydrogel beads, and HEK-293 cells confirm the method's capability for robust subcellular resolution at ∼400 cells/s, enabling advanced label-free cellular diagnostics and analysis. This platform enables label-free, high-content cellular analysis and is readily adaptable to integrated cell sorting and AI-driven classification, offering broad potential for biomedical research and diagnostics.","journal":"APL Photonics","year":2025,"id":584832,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9556,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1497953,"name":"Jingjing Zhao","orcid":"0000-0002-0324-2940","position":1,"is_corresponding":false},{"id":374350,"name":"Xinyu Chen","orcid":"0000-0002-9507-5835","position":2,"is_corresponding":false},{"id":374349,"name":"Zunming Zhang","orcid":"0000-0002-1002-4036","position":3,"is_corresponding":false},{"id":1467187,"name":"Zhaoyu Lai","orcid":null,"position":4,"is_corresponding":false},{"id":665891,"name":"Ziqi Zhou","orcid":"0000-0001-8110-612X","position":5,"is_corresponding":false},{"id":303694,"name":"Adam de la Zerda","orcid":"0000-0002-5617-0194","position":6,"is_corresponding":false},{"id":1497954,"name":"Yu-Hwa Lo","orcid":"0000-0002-4102-4602","position":7,"is_corresponding":false},{"id":1497952,"name":"M Zhou","orcid":"0009-0006-4229-853X","position":0,"is_corresponding":true}],"reference_count":40,"raw_metadata":null,"created_at":"2026-07-19T02:59:16.166424Z","pmid":"41394263","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":[]}