{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T04:20:59Z","timestamp":1783052459029,"version":"3.54.6"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province","doi-asserted-by":"publisher","award":["2022CFB473"],"award-info":[{"award-number":["2022CFB473"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019035","name":"Science and Technology Program of Hubei Province","doi-asserted-by":"publisher","award":["2023DJC048"],"award-info":[{"award-number":["2023DJC048"]}],"id":[{"id":"10.13039\/501100019035","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Displays"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.displa.2026.103504","type":"journal-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T11:10:06Z","timestamp":1777461006000},"page":"103504","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Robust visual recognition in microfluidic displays: a knowledge-driven deep learning approach for artifact suppression and real-time analysis"],"prefix":"10.1016","volume":"94","author":[{"given":"Zihan","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xian","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengqiong","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangping","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhong","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tielin","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanglan","family":"Liao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.displa.2026.103504_b0005","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1038\/nature16071","article-title":"Brain tumour cells interconnect to a functional and resistant network","author":"Osswald","year":"2015","journal-title":"Nature 528"},{"key":"10.1016\/j.displa.2026.103504_b0010","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1038\/nature07385","article-title":"Comprehensive genomic characterization defines human glioblastoma genes and core pathways","volume":"455","author":"Cancer Genome Atlas Research Network","year":"2008","journal-title":"Nature"},{"key":"10.1016\/j.displa.2026.103504_b0015","doi-asserted-by":"crossref","first-page":"v1","DOI":"10.1093\/neuonc\/noac202","article-title":"CBTRUS Statistical Report: Primary Brain and Other Central nervous System Tumors Diagnosed in the United States in 2015-2019","volume":"24","author":"Ostrom","year":"2022","journal-title":"Neuro Oncol."},{"key":"10.1016\/j.displa.2026.103504_b0020","doi-asserted-by":"crossref","DOI":"10.4028\/b-wjQRP6","article-title":"Single-cell multi-omics sequencing uncovers region-specific plasticity of glioblastoma for complementary therapeutic targeting","volume":"10","author":"Wang","year":"2024","journal-title":"Sci. Adv."},{"key":"10.1016\/j.displa.2026.103504_b0025","doi-asserted-by":"crossref","first-page":"6278","DOI":"10.1038\/s41467-021-26614-z","article-title":"Spatially resolved transcriptomics reveals the architecture of the tumor-microenvironment interface","volume":"12","author":"Hunter","year":"2021","journal-title":"Nat. Commun."},{"key":"10.1016\/j.displa.2026.103504_b0030","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1038\/s43018-022-00475-x","article-title":"A single-cell atlas of glioblastoma evolution under therapy reveals cell-intrinsic and cell-extrinsic therapeutic targets","volume":"3","author":"Wang","year":"2022","journal-title":"Nat Cancer"},{"key":"10.1016\/j.displa.2026.103504_b0035","doi-asserted-by":"crossref","first-page":"e8746","DOI":"10.15252\/msb.20188746","article-title":"Current best practices in single-cell RNA-seq analysis: a tutorial","volume":"15","author":"Luecken","year":"2019","journal-title":"Mol. Syst. Biol."},{"key":"10.1016\/j.displa.2026.103504_b0040","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1016\/j.cell.2015.05.002","article-title":"Highly Parallel Genome-wide Expression Profiling of Individual Cells using Nanoliter Droplets","volume":"161","author":"Macosko","year":"2015","journal-title":"Cell"},{"key":"10.1016\/j.displa.2026.103504_b0045","doi-asserted-by":"crossref","first-page":"4814","DOI":"10.1038\/s41467-022-32430-w","article-title":"Single cell spatial analysis reveals the topology of immunomodulatory purinergic signaling in glioblastoma","volume":"13","author":"Coy","year":"2022","journal-title":"Nat. Commun."},{"key":"10.1016\/j.displa.2026.103504_b0050","doi-asserted-by":"crossref","first-page":"1561","DOI":"10.1038\/s41388-017-0045-7","article-title":"Epidermal growth factor receptor (EGFR) and EGFRvIII in glioblastoma (GBM): signaling pathways and targeted therapies","volume":"37","author":"An","year":"2018","journal-title":"Oncogene"},{"key":"10.1016\/j.displa.2026.103504_b0055","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1038\/s41586-024-07762-w","article-title":"Single-cell CAR T atlas reveals type 2 function in 8-year leukaemia remission","volume":"634","author":"Bai","year":"2024","journal-title":"Nature"},{"key":"10.1016\/j.displa.2026.103504_b0060","doi-asserted-by":"crossref","DOI":"10.1002\/smll.202308950","article-title":"An Automated Single-Cell Droplet-Digital Microfluidic Platform for Monoclonal Antibody Discovery","volume":"20","author":"Ahmadi","year":"2024","journal-title":"Small"},{"key":"10.1016\/j.displa.2026.103504_b0065","doi-asserted-by":"crossref","first-page":"2243","DOI":"10.1016\/j.cclet.2021.08.096","article-title":"Recent developments of droplets-based microfluidics for bacterial analysis","volume":"33","author":"Ning","year":"2022","journal-title":"Chin. Chem. Lett."},{"key":"10.1016\/j.displa.2026.103504_b0070","doi-asserted-by":"crossref","DOI":"10.1002\/smmd.70002","article-title":"Droplet Microfluidics for Advanced Single-Cell Analysis","volume":"4","author":"Liu","year":"2025","journal-title":"Smart Med."},{"key":"10.1016\/j.displa.2026.103504_b0075","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1186\/s10020-025-01085-w","article-title":"Single cell RNA sequencing improves the next generation of approaches to AML treatment: challenges and perspectives","volume":"31","author":"Khosroabadi","year":"2025","journal-title":"Mol. Med."},{"key":"10.1016\/j.displa.2026.103504_b0080","series-title":"Proceedings of the National Academy of Sciences 105","first-page":"3191","article-title":"Microfluidic high-throughput encapsulation and hydrodynamic self-sorting of single cells","author":"Chabert","year":"2008"},{"key":"10.1016\/j.displa.2026.103504_b0085","doi-asserted-by":"crossref","unstructured":"H. Hu, X. Wang, S. Feng, Z. Xu, J. Liu, E. Heidrich-O\u2019Hare, Y. Chen, M. Yue, L. Zeng, Z. Rong, T. Chen, T. Billiar, Y. Ding, H. Huang, R.H. Duerr, W. Chen, A unified model-based framework for doublet or multiplet detection in single-cell multiomics data, Nat Commun 15 (2024) 5562. Doi: 10.1038\/s41467-024-49448-x.","DOI":"10.1038\/s41467-024-49448-x"},{"key":"10.1016\/j.displa.2026.103504_b0090","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","article-title":"A Threshold selection Method from Gray-Level Histograms","volume":"9","author":"Otsu","year":"1979","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"10.1016\/j.displa.2026.103504_b0095","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1109\/34.87344","article-title":"Watersheds in digital spaces: an efficient algorithm based on immersion simulations","volume":"13","author":"Vincent","year":"1991","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.displa.2026.103504_b0100","doi-asserted-by":"crossref","unstructured":"J. Canny, A Computational Approach to Edge Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-8 (1986) 679\u2013698. Doi: 10.1109\/TPAMI.1986.4767851.","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"10.1016\/j.displa.2026.103504_b0105","doi-asserted-by":"crossref","first-page":"3249","DOI":"10.1007\/s00216-010-3721-9","article-title":"Label-free cell separation and sorting in microfluidic systems","volume":"397","author":"Gossett","year":"2010","journal-title":"Anal. Bioanal. Chem."},{"key":"10.1016\/j.displa.2026.103504_b0110","unstructured":"Automated cell segmentation in phase-contrast images based on classification and region growing, (n.d.). https:\/\/libproxy.lib.hust.edu.cn\/https\/443\/org\/ieee\/ieeexplore\/yitlink\/document\/7164149 (accessed June 20, 2025)."},{"key":"10.1016\/j.displa.2026.103504_b0115","doi-asserted-by":"crossref","first-page":"2039","DOI":"10.1039\/D2LC01179D","article-title":"A low-cost, label-free microfluidic scanning flow cytometer for high-accuracy quantification of size and refractive index of particles","volume":"23","author":"Reale","year":"2023","journal-title":"Lab Chip"},{"key":"10.1016\/j.displa.2026.103504_b0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.bpr.2025.100200","article-title":"Fluorescent labeling strategies for molecular bioimaging","volume":"5","author":"Streit","year":"2025","journal-title":"Biophysical Reports"},{"key":"10.1016\/j.displa.2026.103504_b0125","article-title":"Fully Automatic Classification of Brain Atrophy on NCCT Images in Cerebral Small Vessel Disease: a pilot Study using Deep Learning Models","volume":"13","author":"Wang","year":"2022","journal-title":"Front. Neurol."},{"key":"10.1016\/j.displa.2026.103504_b0130","doi-asserted-by":"crossref","first-page":"3390","DOI":"10.1039\/D2LC00190J","article-title":"Label-free detection and enumeration of rare circulating tumor cells by bright-field image cytometry and multi-frame image correlation analysis","volume":"22","author":"Du","year":"2022","journal-title":"Lab Chip"},{"key":"10.1016\/j.displa.2026.103504_b0135","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","volume":"39","author":"Ren","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.displa.2026.103504_b0140","first-page":"6086","article-title":"CRNet: a Detail-Preserving Network for Unified image Restoration and Enhancement Task, in","volume":"2024","author":"Yang","year":"2024","journal-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)"},{"key":"10.1016\/j.displa.2026.103504_b0145","doi-asserted-by":"crossref","unstructured":"O. Ronneberger, P. Fischer, T. Brox, U-Net: Convolutional Networks for Biomedical Image Segmentation, in: N. Navab, J. Hornegger, W.M. Wells, A.F. Frangi (Eds.), Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015, Springer International Publishing, Cham, 2015: pp. 234\u2013241. Doi: 10.1007\/978-3-319-24574-4_28.","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"10.1016\/j.displa.2026.103504_b0150","series-title":"Computer Vision \u2013","first-page":"833","article-title":"Encoder-Decoder with Atrous Separable Convolution for Semantic image Segmentation","author":"Chen","year":"2018"},{"key":"10.1016\/j.displa.2026.103504_b0155","first-page":"2980","article-title":"Mask R-CNN, in","volume":"2017","author":"He","year":"2017","journal-title":"IEEE International Conference on Computer Vision (ICCV)"},{"key":"10.1016\/j.displa.2026.103504_b0160","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1038\/s41592-025-02595-5","article-title":"Cellpose3: one-click image restoration for improved cellular segmentation","volume":"22","author":"Stringer","year":"2025","journal-title":"Nat. Methods"},{"key":"10.1016\/j.displa.2026.103504_b0165","doi-asserted-by":"crossref","first-page":"7436","DOI":"10.1109\/TPAMI.2021.3117837","article-title":"Dynamic Neural Networks: a Survey","volume":"44","author":"Han","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.displa.2026.103504_b0170","doi-asserted-by":"crossref","first-page":"2741","DOI":"10.1109\/TPAMI.2023.3336015","article-title":"CADC++: Advanced Consensus-Aware Dynamic Convolution for Co-Salient Object Detection","volume":"46","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.displa.2026.103504_b0175","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1039\/D4LC00900B","article-title":"Cost-effective microfluidic flow cytometry for precise and gentle cell sorting","volume":"25","author":"Yang","year":"2025","journal-title":"Lab Chip"},{"key":"10.1016\/j.displa.2026.103504_b0180","doi-asserted-by":"crossref","unstructured":"SU-YOLO: Spiking neural network for efficient underwater object detection, Neurocomputing 644 (2025) 130310. Doi: 10.1016\/j.neucom.2025.130310.","DOI":"10.1016\/j.neucom.2025.130310"},{"key":"10.1016\/j.displa.2026.103504_b0185","article-title":"A range-adaptive energy-efficient bridge between YOLO and Transformer","volume":"645","author":"Trans-YOLO","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.displa.2026.103504_b0190","doi-asserted-by":"crossref","unstructured":"A novel adaptive weighted fusion network based on pixel level feature importance for two-stage 6D pose estimation, Neurocomputing 642 (2025) 130371. Doi: 10.1016\/j.neucom.2025.130371.","DOI":"10.1016\/j.neucom.2025.130371"},{"key":"10.1016\/j.displa.2026.103504_b0195","doi-asserted-by":"crossref","DOI":"10.1063\/5.0033291","article-title":"An inexpensive microfluidic device for three-dimensional hydrodynamic focusing in imaging flow cytometry","volume":"14","author":"Patel","year":"2020","journal-title":"Biomicrofluidics"},{"key":"10.1016\/j.displa.2026.103504_b0200","doi-asserted-by":"crossref","unstructured":"J.S. B\u00f6ke, M. Kielpinski, E. Ehrhardt, T. Henkel, Continuous flow technology for particle focusing in microscopy, in: Multimodal Sensing and Artificial Intelligence for Sustainable Future, SPIE, 2025: pp. 78\u201387. Doi: 10.1117\/12.3062557.","DOI":"10.1117\/12.3062557"}],"container-title":["Displays"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0141938226001678?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0141938226001678?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T03:58:52Z","timestamp":1783051132000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0141938226001678"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":40,"alternative-id":["S0141938226001678"],"URL":"https:\/\/doi.org\/10.1016\/j.displa.2026.103504","relation":{},"ISSN":["0141-9382"],"issn-type":[{"value":"0141-9382","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Robust visual recognition in microfluidic displays: a knowledge-driven deep learning approach for artifact suppression and real-time analysis","name":"articletitle","label":"Article Title"},{"value":"Displays","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.displa.2026.103504","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"103504"}}