Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes

Cited by (1,000)

Items 901–1,000 of 1,000

1. CellPHIE: Integrating Pathway Discovery With Pooled Profiling of Perturbations Uncovers Pathways of Huntington’s Disease, Including Genetic Modifiers of Neuronal Development and Morphology
   Byunguk Kang, Michael A. Murphy, Christopher Ng, Matthew Joseph Leventhal, Nhan C. Huynh, Egun Im, Serwah A. Danquah, David E. Housman, Ralda Nehme, Samouil L. Farhi et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
2. Rare missense variants of the leukocyte common antigen related receptor (LAR) display reduced activity in transcellular adhesion and synapse formation
   Mathias Kaas Ollendorff, Nicolas Chofflet, Deniz Bicer, Sune Skeldal, Jinjie Duan, Benjamin Feller, Joachim Vilstrup, Rosa Groth, Suganya Sivagurunathan, Hesam Dashti et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
3. LivecellX: Corrective Deep Learning for Object-Oriented Single-Cell Analysis in Live-Cell Imaging
   Ke Ni, Gaohan Yu, Zhiqian Zheng, Yong Lü, Sophia Hu, Dante Poe, Sijie Zhang, Mia Sanborn, Mostofa Uddin, Zilin Wang et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
4. Phenotypic drug discovery
   Sonja Sievers, Herbert Waldmann, Slava Ziegler · 2025 · Elsevier eBooks
5. Artificial Intelligence-based Morphological Profiling for Drug Discovery: Advancing Towards 4D Phenotypic Profiling
   M. De Vries, Lucas Dent, Hugh Sparks, Reed Naidoo, Olga Fourkioti, Mar Arias-García, Christopher W. Dunsby, Chris Bakal · 2025 · Royal Society of Chemistry eBooks
6. AI and Chemogenomics in High Content Screening
   William J. Godinez, Jian Chen Fang, Mark‐Anthony Bray, Jeremy L. Jenkins · 2025 · Royal Society of Chemistry eBooks
7. Beyond Images: Data Extraction, Analysis and Interpretation
   T. Dorval · 2025 · Royal Society of Chemistry eBooks
8. Morphological Profiling in 2D High Content Screening Assays – Case Studies and Applications
   Rebecca E. Graham · 2025 · Royal Society of Chemistry eBooks
9. Functional analysis across model systems implicates ribosomal proteins in growth and proliferation defects associated with hypoplastic left heart syndrome
   Tanja Nielsen, Anaïs Kervadec, Jeanne L. Theis, Maria Azzurra Missinato, James Marchant, Michaela R. Lynott, Aashna Lamba, Xin-Xin I. Zeng, Marie Berenguer, Stanley M. Walls et al. · 2025 · eLife
10. Integrating Cell Painting and Thermal Proteome Profiling for Inference of Targets and Mechanism of Action
    Camilla Johansson, Martin M. Johansson, Jordi Carreras Puigvert, Ola Spjuth, Erik T. Jansson · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
11. Morphological Profiling of Imaging Flow Cytometry Data Uncovers Heterogeneity in Infected Gephyrocapsa huxleyi Cultures
    Maxim Lippeveld, Daniel Peralta, Assaf Vardi, Flora Vincent, Yvan Saeys · 2025 · Cytometry Part A
12. Fluidic Programmable Gravi-maze Array for High Throughput Multiorgan Drug Testing
    Henry C. Wong, Chris J. Collins, Joshna A. Jude Jose, Alyssa J. Villegas, Isha N. Bhakta, Andrew J. Collins, Gunjan Katara, Johar Kohana, Harpreet S. Saluja, John P. Collins · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
13. High-throughput High Content Quantification of HIV-1 Viral Infectious Output
    Teresa LuPone, Alexis Brantly, Oluwatofunmi Oteju, Stephanie M. Matt, Kaitlyn Runner, Emily A. Nickoloff-Bybel, Michael R. Nonnemacher, Peter J. Gaskill · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
14. Informatics at the Frontier of Cancer Research
    Kathleen Noller, Taxiarchis Botsis, Pablo G. Cámara, Lauren Ciotti, Lee Cooper, Jeremy Goecks, Malachi Griffith, Brian J. Haas, Trey Ideker, Rachel Karchin et al. · 2025 · Cancer Research
15. Cell Phenotyping Reveals Chemical Water Disinfection Treatment-Induced Molecular and Morphological Perturbations
    Mourad Harir, Xin Zhang, Joel Schick, Marianna Lucio, Inês B. Gomes, Manuel V. Simões, Philippe Schmitt‐Kopplin · 2025 · SSRN Electronic Journal
16. Time resolved cell painting enables rapid assessment of cell phenotypes
    Franziska Annabelle Hecker, Bruno Leggio, Tim König, Karsten Niehaus, Sven Geibel · 2025 · SLAS DISCOVERY
17. A High Content Imaging and Machine Learning Approach to Identify the Anti-Cancer Effect of Novel Small Molecules on Brain Cancer Patient-Derived Organoids
    Rizwan Ali, Yassinali Tamboli, Saba M. Alsubaie, Sikander Hayat, Mohamed Boudjelal · 2025 · Microscopy and Microanalysis
18. TARGA Imager: Accelerating Mechanistic Profiling Beyond Cell Painting
    2025 · Inside Precision Medicine
19. Exploring the Interplay Between Particles and the Immune System
    Thais S. M. Lima, Filipa Lebre · 2025 · Springer eBooks
20. Code to cure: computational genomics and proteomics in biomedical research and therapeutics
    Taru Singh, Sameer Singh, Uzma Iftekhar, Aleena Taufiq · 2025 · Elsevier eBooks
21. Morphological cell profiling for drug repurposing against SARS-CoV-2 infection
    Elin Asp, Jonne Rietdijk, Marianna Tampere, Hanna Axelsson, Duncan T. Njenda, Swapnil Potdar, Adelinn Kalman, Polina Georgieva, Maris Lapins, Flavio Ballante et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
22. Heart Failure Impacts Endothelial Cell Responses to Cardiac Surgery on Cardiopulmonary Bypass
    Olga Papazisi, Rudmer J. Postma, Richard J. Dirven, Saskia L.M.A. Beeres, Remco R. Berendsen, M. Sesmu Arbous, Robert J.M. Klautz, Marieke E. van Vessem, Roel Bijkerk, Jan H.N. Lindeman et al. · 2025 · Cells
23. P450 Enzyme LyoI Performs Hydro‐2,2′‐Bifuran Oxidation in the Polyether Ionophore Lysocellin
    Michelle H. Rasmussen, Søren Lau Borcher Møller, Esben B. Svenningsen, Thomas Tørring, Thomas Bjørnskov Poulsen · 2025 · Angewandte Chemie
24. P30-43 A Model-Based Clustering approach for toxicity assessment using Cell Painting data
    Mariam Grigoryan, Vincent Vandewalle, David Rouquié · 2025 · Toxicology Letters
25. P18-113 Morphological Profiling of Environmental Chemicals Using Cell Painting
    J. Rietdijk, Ola Spjuth, Jordi Carreras Puigvert · 2025 · Toxicology Letters
26. HCS-DFC: A Diffusion Classifier for Mode of Action Prediction Using Morphological Profiles
    Jakub Kościukiewicz, Dawid Rymarczyk, Bartosz Zieliński · 2025 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
27. A Genetically Encoded Assay System to Quantify O‐GlcNAc Transferase (OGT) Activity in Live Cells
    Weifeng Benny Wu, Yanping Zhu, Jun Bian, Jil A. Busmann, David J. Vocadlo · 2025 · Angewandte Chemie
28. Large-scale experimental validation of phenotype-guided generative AI for de novo drug discovery
    Jure Fabjan, Joanna M. Wenda, Claire Pecoraro-Mercier, Paula Andrea Marin Zapata, Joerg Wichard, Djork-Arné Clevert, Oscar Méndez‐Lucio, David Rouquié · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
29. Mapping human microglial morphological diversity via handcrafted and deep learning-derived image features
    Kayhan Alvandipour, Amélie Weiss, Mona Mathews, Brenda Besemer, Michaela Segschneider, Zahra Hanifehlou, Christian Felski, Michael Peitz, Arnaud Ogier, Peter Sommer et al. · 2026 · iScience
30. Generative semantic multiplexing (SemaPlex) for accessible and scalable multiplexed fluorescence imaging
    Ihuan Gunawan, Moumitha Dey, Daniel Neumann, Felix V Kohane, Ying He, Erik H. W. Meijering, John George Lock · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
31. Analyzing cancer cell-state transition dynamics through live-cell imaging and high-dimensional single-cell trajectory analyses
    Jianhua Xing, Weikang Wang · 2025 · Oxford University Press eBooks
32. Accelerating early-stage drug discovery with knowledge graphs
    Jeremy Grignard, Thierry Dorval · 2025 · Elsevier eBooks
33. Sculpting the future: harnessing artificial intelligence for revolutionary drug discovery
    Antonio Lavecchia · 2025 · Elsevier eBooks
34. Phenotypic profiling of small molecules using cell painting assay in HCT116 colorectal cancer cells
    Velemir Lavrinenko, Ilona Donskaia, Vladimir Popov, Ekaterina Litau, Varvara Petrova, Stanislav F. Tyazhelnikov · 2025 · PLoS ONE
35. Single-cell high-dimensional phenotyping in space and time based on organelle features
    2025 · Nature Methods
36. Quantifying the Single‐Cell Morphological Landscape of Cellular Transdifferentiation through Force Field Reconstruction
    C. Y. Yu, Chuanbo Liu, Erkang Wang, Jin Wang · 2025 · Advanced Science
37. BESTDR Enables Bayesian Quantification of Mechanism-Specific Drug Responses
    Thomas O. McDonald, Simone Bruno, James P. Roney, Ioannis K. Zervantonakis, Franziska Michor A · 2025 · Cancer Research
38. Continuous Motility Fingerprints from Gaussian Mixture Models Reveal Hidden Sperm Heterogeneity
    Julianna Lamm · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
39. Functional analysis across model systems implicates ribosomal proteins in growth and proliferation defects associated with hypoplastic left heart syndrome
    Tanja Nielsen, Anaïs Kervadec, Jeanne L. Theis, Maria Azzurra Missinato, James Marchant, Michaela Romero, Katya Marchetti, Aashna Lamba, Xin-Xin I. Zeng, Marie Berenguer et al. · 2025 · eLife
40. Image-based Morphological Profiling Reveals Signatures of Radiation Exposure
    Olivia N. Tiburzi, Laura J. Dunphy, Sarah Ton, Leah Talbott, Ryan J. McQuillen, Alan W Hunt · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
41. Image-based morphological profiling of autophagy phenotypes in Zika virus infected cells
    Neil Alvin B. Adia, Priya S. Shah · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
42. Additional file 1 of Development of a chemogenomics library for phenotypic screening
    Bryan Dafniet, Natacha Cerisier, Batiste Boezio, Anaelle Clary, Pierre Ducrot, Dorval, Thierry, Arnaud Gohier, Brown, David, Karine Audouze, Olivier Taboureau · 2021 · Figshare
43. Additional file 3 of Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data
    Srijit Seal, Yang, Hongbin, Trapotsi, Maria-Anna, Singh, Satvik, Jordi Carreras Puigvert, Spjuth, Ola, Bender, Andreas · 2024 · Figshare
44. Additional file 2 of Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data
    Srijit Seal, Yang, Hongbin, Trapotsi, Maria-Anna, Singh, Satvik, Jordi Carreras Puigvert, Spjuth, Ola, Bender, Andreas · 2024 · Figshare
45. Additional file 2 of A phenomics approach for antiviral drug discovery
    Jonne Rietdijk, Marianna Tampere, Aleksandra Pettke, Polina Georgiev, Maris Lapins, Ulrika Warpman Berglund, Spjuth, Ola, Puumalainen, Marjo-Riitta, Jordi Carreras Puigvert · 2021 · Figshare
46. Additional file 2 of CD146 controls the quality of clinical grade mesenchymal stem cells from human dental pulp
    Ma, Lan, Huang, Zhiqing, Wu, Di, Xiaoxing Kou, Mao, Xueli, Shi, Songtao · 2021 · Figshare
47. Additional file 4 of Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data
    Srijit Seal, Yang, Hongbin, Trapotsi, Maria-Anna, Singh, Satvik, Jordi Carreras Puigvert, Spjuth, Ola, Bender, Andreas · 2024 · Figshare
48. Additional file 1 of A phenomics approach for antiviral drug discovery
    Jonne Rietdijk, Marianna Tampere, Aleksandra Pettke, Polina Georgiev, Maris Lapins, Ulrika Warpman Berglund, Spjuth, Ola, Puumalainen, Marjo-Riitta, Jordi Carreras Puigvert · 2021 · Figshare
49. He2Cl: A 2-Step Clustering Algorithm to Characterize Cellular Heterogeneity From Cell Morpho-Dynamics Behaviors
    Alice Martin, Guillaume Godefroy, Florian Lemarchand, Jeremy Neri, Olivier Cioni, Kiran Padmanabhan, Chiara Paviolo · 2025 · IEEE Transactions on Signal Processing
50. Additional file 1 of CellProfiler 4: improvements in speed, utility and usability
    David R. Stirling, Madison J. Swain-Bowden, Alice M. Lucas, Anne Elizabeth Carpenter, Beth A. Cimini, Allen Goodman · 2021 · Figshare
51. Additional file 1 of Spatial omics technologies at multimodal and single cell/subcellular level
    Jiwoon Park, Junbum Kim, Tyler Lewy, Rice, Charles M., Elemento, Olivier, Rendeiro, André F., Mason, Christopher E. · 2023 · Figshare
52. Additional file 1 of Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data
    Srijit Seal, Yang, Hongbin, Trapotsi, Maria-Anna, Singh, Satvik, Jordi Carreras Puigvert, Spjuth, Ola, Bender, Andreas · 2024 · Figshare
53. Additional file 5 of Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data
    Srijit Seal, Yang, Hongbin, Trapotsi, Maria-Anna, Singh, Satvik, Jordi Carreras Puigvert, Spjuth, Ola, Bender, Andreas · 2024 · Figshare
54. Additional file 1 of CD146 controls the quality of clinical grade mesenchymal stem cells from human dental pulp
    Ma, Lan, Huang, Zhiqing, Di Wu, Xiaoxing Kou, Mao, Xueli, Shi, Songtao · 2021 · Figshare
55. Planning for an AlphaFold for Drug Safety Assessment: Benchmarking and Data Infrastructure as Prerequisites
    Chirag J. Patel · 2025 · NEJM AI
56. Open-source cell culture automation system with integrated cell counting for passaging microplate cultures
    Greg Courville, Shivanshi Vaid, Alexis Toruño, Paul M. Lebel, Joana P. Cabrera, Preethi Raghavan, Axel Jacobsen, George R. R. Bell, Manuel D. Leonetti, Rafael Gómez-Sjöberg · 2025 · PNAS Nexus
57. CombiCTx: screening diffusion gradients of anti-cancer drug combinations
    Christina Stelzl, Ada Lerma Clavero, Selina Camenisch, B. Simon, Olle Eriksson, Oliver Degerstedt, Hans Lennernäs, Femke Heindryckx, Johan Kreuger, Paul W. O'Callaghan · 2026 · Lab on a Chip
58. SubCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validation in Drug Discovery
    Jacob Hanimann, Daniel Siegismund, Mario Wieser, Stephan Steigele · 2026 · Lecture notes in computer science
59. Cell Painting Protocol to Characterize Morphological Profiles of Large Compound Collections Using the EU-OPENSCREEN Library
    Christopher Wolff, Martin Neuenschwander, Michelle Müller, Astrid Mühl, Jens Peter von Kries, Christopher Schmied, Edgar Specker · 2026 · Methods in molecular biology
60. Morphological Data Analysis: From Descriptor Development to Predictive Modeling
    Floriane Odje, Lisa-Marie Rolli, Andrea Volkamer · 2012 · Methods in molecular biology
61. Generalizable and Robust Phenotypic Drug Discovery
    Xin Hong, Jiaxin Zheng, Xingsi Xie, Yinjun Jia, Yuyan Ni, Yanyan Lan · 2026 · Lecture notes in computer science
62. Scheduled Cross-Domain Multi-center DINO for Robust High-Content Screening Representation Learning
    Sergei Pnev, Julia Wolleb, Jonathan C. Fuller, Patrick Rammelt, Viktor Hendrik Koelzer, Philippe Claude Cattin · 2026 · Lecture notes in computer science
63. High-Content Screening Framework for Academic Early Drug Discovery
    André Filipe Maia, Antonio R. Pombinho, Hugo M. Botelho · 2026 · Methods in molecular biology
64. A self-supervised machine learning pipeline for extracting information from live cell images at multiple doses and timepoints
    Dmitry Isaev, Wen Pei Liu, Marc Cuevas, Yubo Tang, Kenny K. H. Ang, Chris Wilson, Quynh Mai, Jovani Adra, Allan Cruz, Khoi Nguyen et al. · 2026 · Scientific Reports
65. Visualization, Data Extraction, and Multiparametric Analysis of 3D Pancreatic and Colorectal Cancer Cell Lines for High-Throughput Screening
    Mikhail A. Trofimov, I. P. Bulatov, Velemir Lavrinenko, Vladimir E. Popov, Varvara Petrova, Anton Bukatin, Stanislav F. Tyazhelnikov · 2026 · Biomedicines
66. Few-Shot Learning in Drug Discovery
    Johannes Schimunek, Gnter Klambauer · 2026 · Springer eBooks
67. Contrastive Learning Approaches for Drug Discovery
    Ana Sanchez-Fernandez, Gnter Klambauer · 2026 · Springer eBooks
68. Visualizing Spatiotemporal Dynamics of Somatosensory Cortex Neurons During Electroacupuncture Using Two-Photon In Vivo Imaging
    Shu-xiu Zhu, Fan Wu, Qiang Fu, Xue-Fei Hu · 2026 · Journal of Visualized Experiments
69. Modelling Ferroptosis in a Human Microglial Line by Sequential Exposure to Iron and GPX4 Inhibition
    Renaud Bussiere, Nikhil Kumar Tulsian, Cecilia Wieder, Dewi Mcconnaughie, Evie Tynan, Andrew Lowe, Esther Cheow, Matthew Choo, Jill C. Richardson, James A. Duce et al. · 2026 · Oxidative Medicine and Cellular Longevity
70. Machine learning–based image analysis of Parkinson’s disease iPS cell-derived neurons predicts genotype and reveals mitochondria–lysosome abnormalities
    Yan Li, Maximilian Powell, Jessica Chedid, Ratneswary Sutharsan, Adahir Labrador‐Garrido, Kwaku Dad Abu-Bonsrah, Chiara Pavan, Tyra D. Fraser, Dmitry A. Ovchinnikov, Melanie Zhong et al. · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
71. Cell Painting reveals polypharmacological activity on the V-ATPase by the F-ATPase inhibitor Cyhexatin
    Franziska Annabelle Hecker, Maximilian Grohs, Tim Koenig, Karsten Niehaus, David Gnutt, Sven Geibel · 2026 · Pesticide Biochemistry and Physiology
72. Beyond resolution: AI-powered subcellular bioimaging for next-generation smart diagnostics
    Andrés F. Luis-Robles, Juan P. López-Martínez, Arturo Jiménez‐Sánchez · 2026 · Biosensors and Bioelectronics X
73. Comprehensive profiling of metal compound toxicity: Potential novel targets and mechanistic insights using Tox21 screening
    Masato Ooka, Precious Adedayo Adesina, Vishakha Goyal, Jinghua Zhao, Shuaizhang Li, Gabrielle Feldman, Charlotte TeKrony, Dvir Blivis, Majid Harouni, Matthew D. Hall et al. · 2026 · Journal of Hazardous Materials Advances
74. Multiplexed high-content imaging uncovers morphological diversity of lymphocyte activation and dysfunction
    Julie C. Matte, Olivier B. Bakker, Madeline Ohl, F. Cisternino, Andrea Manrique-Rincón, Anke Husmann, Florence Lichou, Tong LI, Kwasi Kwakwa, Anneliese O. Speak et al. · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
75. Design, Synthesis, and Biological Evaluation of Pseudo‐Natural Products Inspired by Aryloctahydroindole Alkaloids
    Luca C. Greiner, Freddy A. Bernal, Sasikala Thavam, Maite Brachthäuser, Sonja Sievers, Slava Ziegler, Herbert Waldmann · 2026 · ChemMedChem
76. Disrupting linearity of PROTAC scaffolds prevents off-target complex I inhibition
    Nick Richert, Hana Nůsková, Jana Samarin, Bozhidar S. Ivanov, Mohamad Saoud, Frank H. Deis, Nicole de Vries, Sonja Sievers, Gernot Poschet, Slava Ziegler et al. · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
77. Dual-Stream Deep Feature and Cell Phenotype Fusion Model for the Diagnosis of Myeloproliferative Neoplasms
    Tzu-Ya Chien, Cheng-Kuan Lin, Hung-Ruei Chen, Chun-Hao Lin, Pin-Hsuan Chou, Yu-Hsun Lin, Pin-Rong Chen, Chiu‐Mei Yeh, Wan-Jou Lin, Yu-Chee Tseng et al. · 2026 · Laboratory Investigation
78. An Integrated and Configurable End-to-End Pipeline for Longitudinal Cell Painting Analysis
    Guang Zhao, Yu Xi, Mikhail Titov, Rebecca Weinberg, Sara Forrester, Tom Brettin, Shinjae Yoo, Xiaoning Qian, Byung-Jun Yoon · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
79. Interpretable transcriptome-to-phenotype modeling of cell-painting nuclear morphology features from RNA-seq under low-dose radiation exposure
    Sanket R. Jantre, Kriti Chopra, Guang Zhao, Clark A. Cucinell, Rebecca Weinberg, Sara Forrester, Thomas Scott Brettin, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
80. Six-fold swelling expansion microscopy assisted cell painting for high-content phenotypic screening
    Junfang Xie, Yipeng Dong, Jin Wang, Zhichao Deng, Jianguo Tian, Qing Ye · 2026 · Optoelectronics Letters
81. Phenotypic Bioactivity Prediction as Open-set Biological Assay Querying
    Yuze Sun, Xiaoman Zhang, Qiaoyu Zheng, Hanzheng Li, Jianming Zhang, Liang Hong, Yanfeng Wang, Ya Zhang, Weidi Xie · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
82. A Computational Workflow for Cell Line Profiling by Imaging Mass Cytometry
    Alexandre Bouzekri, Amanda M. Esch, Olga Ornatsky · 2026 · Cytometry Part A
83. MORPHIS (MORPHological Interpretable Signature) captures heterogeneous treatment- and aging-related responses of single cells
    Freja Bohr, Athanasios Oikonomou, Emilie Milan Nielsen, Georgios Konstantinidis, Janni Støvring Mortensen, Nektarios Tavernarakis, Hanne Mørck Nielsen, Nikos S. Hatzakis · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
84. High-throughput high content quantification of HIV-1 viral infectious output
    Teresa LuPone, Alexis Brantly, Oluwatofunmi Oteju, Stephanie M. Matt, Kaitlyn Runner, Emily A. Nickoloff-Bybel, Michael R. Nonnemacher, Peter J. Gaskill · 2026 · PLoS ONE
85. A diffusion model conditioned on compound bioactivity profiles for generating high-content images
    Steven Cook, Jason Chyba, Laura Gresoro, Doug Quackenbush, Minhua Qiu, Peter S. Kutchukian, Eric J. Martin, Peter Skewes-Cox, William J. Godinez · 2026 · Scientific Reports
86. Analysis of phenotypic and spatial cellular heterogeneity from large scale microscopy data
    France Rose · 2019
87. Caractérisation de l'organisation et du trafic de paires récepteur/anticorps thérapeutiques par microscopie de localisation de molécules uniques couplée au criblage à haut débit.
    Marine Cabillic · 2021 · theses.fr (ABES)
88. High content cell imaging reveals actin cytoskeleton-mediated control of the immunological synapse
    Yolla German · 2020 · theses.fr (ABES)
89. Deep learning for computational phenotyping in cell-based assays
    Joseph Boyd · 2020 · theses.fr (ABES)
90. High-Content Imaging and Machine Learning Classify Phenotypical Change in Coronary Artery Endothelial Cells Caused by BPS
    Lavinia Eugenia Ferariu, Gheorghe Movileanu, Giulia Gaggi, Barbara Ghinassi, Angela Di Baldassarre, Andrea Di Credico · 2026 · International Journal of Molecular Sciences
91. Criblage de petites molécules d'intérêt thérapeutique et recherche de leur mécanisme d'action
    Alexandrine Rozié · 2020 · theses.fr (ABES)
92. Automated Morphological Profiling via Deep Learning-Based Segmentation for High-Throughput Phenotypic Screening
    Bendegúz H. Zováthi, Philipp Kainz · 2026 · Journal of Imaging
93. Systematic identification of chromatin organizers as tuners of intratumoral heterogeneity
    Brian J Woo, Sushil Sobti, Jung Min Suh, Hassan Yousefi, Kristle Garcia, Shaopu Zhou, Ashir A. Borah, Hani Goodarzi · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
94. Domain Adaptation of the Segment Anything Model for Monococci Segmentation in Microscopy Images
    Aleksei Samarin, Dmitry Nazarenko, Anastasia Mamaeva · 2026 · International Russian Smart Industry Conference (SmartIndustryCon)
95. Cell Painting PLUS: An Iterative Staining‐Elution Protocol for High‐Content Phenotypic Screenings
    Marlene Wedler, Elena von Coburg, José M. Muiño, Lars Valentin, Nils Körber, Sebastian Dunst, Shu Liu · 2026 · Current Protocols
96. A comprehensive pharmacological survey across heterogeneous patient-derived glioblastoma stem cell models
    Richard J. R. Elliott, Peter W. Nagle, Muhammad Furqan, John C. Dawson, Vanessa Smer-Barreto, Diego A. Oyarzún, Aoife McCarthy, Alison F. Munro, Camilla Drake, Gillian M. Morrison et al. · 2026 · iScience
97. Evaluating Dermal Bioactivity of Metal Additive Manufacturing Powders Using Human In Vitro and Ex Vivo Skin Models
    Alexander Persson, Zuzanna Łyczyńska, Mariam Shahata, Oleksandr Kotlyar, Magnus Engwall, Eva Särndahl, Marcus Ehrström, Keira Melican, Inger Odnevall Wallinder, Andi Alijagić · 2026 · Chemical Research in Toxicology
98. A vitronectin-functionalized ECM-mimetic hydrogel platform for modelling integrin-dependent tumour responses to cilengitide
    Isaac Vieco-Martí, Sofía Granados-Aparici, Amparo López-Carrasco, Miguel F. Segura, Manuel Salmerón‐Sánchez, Immaculada Noguera, Samuel Navarro, Rosa Noguera · 2026 · Materials Today Bio
99. Profiling Co‐Occurrent Morphological Phenotypes and Their Degree of Expression Severity in Vacuolated Cells by Holo‐Tomographic Flow Cytometry and Fractal Analysis
    Marika Valentino, Giusy Giugliano, Daniele Pirone, Fabrizio Licitra, Fulvia Vitale, Pasquale Memmolo, Lisa Miccio, Massimo D’Agostino, Pietro Ferraro, Vittorio Bianco · 2026 · Advanced Intelligent Systems
100. Identification of an Inhaled Pulmonary Selective PDGFR Inhibitor with Sustained Target Engagement
     Glenn Marsboom, Tianbao Lu, Zhigang Hong, Kimberly Holt, Makhosi Edmondson, Chin-hu Huang, Amanda M. Del Rosario, Salam Ibrahim, Victoria D. Wong, Michael Harbut et al. · 2026 · Journal of Aerosol Medicine and Pulmonary Drug Delivery