Microscopy Image Analysis

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13 papers in the last four weeks, up 117% on the four weeks before. 0.1% of all new papers.

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Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys
Jun 20, 2026Zeyu Xia, Kan Ma, Sibo Cheng +7Image Segmentation Materials Science
Queensland University of Technology, Queensland 4000, Australia · School of Metallurgy and Materials, University of Birmingham, Birmingham B15 2SQ, United Kingdom. · Data Science Institute, Department of Computing, Imperial College London, London SW7 2AZ, United Kingdom. +4
CurvSegFlow: Time-Conditioned Flow Matching for Robust Segmentation of Curvilinear Structures in Noisy Biomedical Images
Jun 19, 2026Sidi Mohamed Sid'El Moctar, Achraf Ait Laydi, Alexandre Beber +4Flow Matching Image Segmentation
CNRS, Univ. Rennes, Institute of Genetics and Development of Rennes (IGDR), Rennes, France · TIAD Laboratory, Sciences and Technology Faculty, Sultan Moulay Slimane Univ, Beni Mellal, Morocco · Institute of Biotechnology, Czech Academy of Sciences, Vestec, Czech Republic
$μ$ Match: Foundation Models for Semi-supervised Learning and Domain Adaptation in EM
Jun 19, 2026Marei Freitag, Olesia Korchevaia, Luca Freckmann +2Unsupervised Domain Adaptation Vision Foundation Model Adaptation
Life and Medical Sciences Institute (LIMES), University of Bonn, Germany · Institute of Computer Science, Georg-August-University Göttingen, Germany
OSOG: A Differentiable, Physics-Informed Synthetic Data Engine for Micro-Optical Environments
Jun 19, 2026Caio SilvaDifferentiable Rendering Synthetic Data Generation
Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA∗
Interpretable Sperm Morphology Classification via Attention-Guided Deep Learning
Jun 18, 2026Zahra Asghari Varzaneh, Reza Khoshkangini, Thomas Ebner +1Explainable Medical Image Analysis Microscopy Image Analysis
Department of Computer Science and Media Technology, Malmö University, Malmö, Sweden · Kepler Universitätsklinikum, Linz, Austria · NewLifeAid-Global AB, Sweden
Stitching and dimensionality effects on large artificially generated volume datasets
Jun 18, 2026Lucas von Chamier, Jan Philipp Albrecht, Dagmar KainmüllerImage Generation Cryo-Electron Microscopy
1GFZ Helmholtz-Zentrum für Geoforschung · 2Max Delbrück Center for Molecular Medicine in the Helmholtz Association · 3Helmholtz Imaging +2
Automatic ply-specific analyses of CFRP micrographs using shortest-path-based ply distinction
Jun 17, 2026Jonas Naumann, Jonas P. Appels, Julius Biermann +3Image Segmentation Instance Segmentation
DART: A design-aware microfluidic chip paradigm for real-time live-cell image analysis
Jun 16, 2026Johannes Seiffarth, Matthias Pesch, Lukas Scholtes +3Microscopy Image Analysis
Institute for Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany · Computational Systems Biotechnology (AVT.CSB), RWTH Aachen University, Aachen, Germany · Institute for Advanced Simulation, IAS-8: Data Analytics and Machine Learning, Forschungszentrum Jülich, Jülich, Germany
Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology
Jun 16, 2026Tianyu Liu, Ziqing Wang, Zhaokang Liang +12Pathology Foundation Models Clinical Prediction
Program of Computational Biology and Bioinforamtics, Yale University, USA · Broad Institute of MIT and Harvard, USA · These authors contributed equally to this work. +12
Million-scale multimodal pollen microscopy with expert-guided foundation models
Jun 16, 2026András Biricz, Björn Gedda, Donát Magyar +4Domain Adaptation Multimodal Model Evaluation
Department of Physics of Complex Systems, ELTE Eötvös Lor´and University, Budapest, Hungary · 2The Palynological Laboratory at the Swedish Museum of Natural History, Stockholm, Sweden · 3National Centre for Public Health and Pharmacy, Budapest, Hungary +4
AURA: Active-Response Attribution under Treatment Ambiguity in Bacterial Cytological Profiling
Jun 15, 2026Kartik Jhawar, Mrunmayee Deshpande, Wilfried Moreira +2Energy-Based Models Microscopy Image Analysis
Institute for Digital Molecular Analytics and Science, Nanyang Technological University, Singapore 636921 · School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798 · Institute for Functional Intelligent Materials, National University of Singapore, Singapore 117544
CRIS: Cross-Plane Self-Supervised Isotropic Restoration for Anisotropic Volumetric Imaging Across Modalities
Jun 14, 2026Adi Ahituv, Anat Ilivitzki, Moti FreimanSelf-Supervised Learning Medical Image Super-Resolution
Faculty of Data and Decision Sciences, Technion – Israel Institute of Technology, Haifa, 3200003, Israel · Rambam Health Care Campus, Haifa, 3109601, Israel · Faculty of Biomedical Engineering, Technion – Israel Institute of Technology, Haifa, 3200003, Israel +1
CD-RCM: Generalizable Continuous-Depth Novel View Synthesis for Reflectance Confocal Microscopy
Jun 10, 2026Tooba Imtiaz, Milind Rajadhyaksha, Kivanc Kose +1Novel View Synthesis Sparse-View 3D Reconstruction
Northeastern University · Memorial Sloan Kettering Cancer Center
CellNet -- Localizing Cells using Sparse and Noisy Point Annotations
Jun 10, 2026Benjamin Eckhardt, Dmytro Fishman, Stuart Fawke +3Object Counting Microscopy Image Analysis
University of Göttingen · University of Tartu · Wellcome Sanger Institute
FreeBridge: Variational Schrödinger Bridges for Cellular Transition Dynamics
Jun 9, 2026Xurui Wang, Qin Ren, Jun Ma +2Schrödinger Bridges Single-Cell Perturbation Modeling
Stony Brook University, Stony Brook, NY, USA · University of Toronto, Toronto, ON, Canada · University Health Network, Toronto, ON, Canada
Patient-Level Diagnosis of Acute Myeloid Leukemia via Deep Learning Analysis of Bone Marrow Smear
Jun 9, 2026Yuqi Ma, Tianyi Wang, Weihua Meng +6Computational Pathology Medical Diagnosis
State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China. · Peking University People’s Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing 100044, China. · Shanghai Dishuo Beiken Biotechnology Co., Ltd., Building 9-10, No. 3377 Kangxin Highway, Pudong New Area, Shanghai 201315, China.
POPSICLE: Benchmark Datasets for Segmentation and Localization in CryoET
Jun 8, 2026Jonathan Schwartz, Utz Heinrich Ermel, C. Braxton Owens +6Image Segmentation Cryo-Electron Microscopy
1Biohub, Redwood City, CA 94063, USA · 2Brigham Young University, Provo, UT, 84602, USA
Maximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching
Jun 8, 2026Kaden Stillwagon, Alexandra D. VandeLoo, Craig R. ForestInstance Segmentation Microscopy Image Analysis
College of Computing, Georgia Institute of Technology, Atlanta, 30332, Georgia, United States · School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, 30332, Georgia, United States · Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, 30332, Georgia, United States +1
Context-Aware Deep Learning for Defect Classification in Atomic-Resolution STEM
Jun 8, 2026Jiadong Dan, Cheng Zhang, Leyi Loh +5Materials Science Multimodal Classification
Department of Biological Sciences, National University of Singapore, Singapore · Centre for BioImaging Sciences (CBIS), National University of Singapore, Singapore · Department of Materials Science and Engineering, City University of Hong Kong, China +5
Improving Combined Detection and Classification of TEM Defects via Mask-Conditioned Latent Diffusion Augmentation
Jun 1, 2026Ni Li, Nuohao Liu, Ryan Jacobs +5Synthetic Data Augmentation Latent Diffusion Models
University of Wisconsin-Madison, Madison, WI · University of Michigan-Ann Arbor, Ann Arbor, MI
Agentic-J: An AI Agent for Biological Microscopy Image Analysis
Jun 1, 2026Lukas Johanns, Marilin Moor, Davide Panzeri +9AI Coding Agents Scientific Workflow Automation
Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany. · Institute of Computer Science, University of Tartu, Tartu, Estonia. · Faculty of Computer Science, Ruhr University Bochum, Bochum, Germany. +4
Topological texture analysis of microscopy images of dynamic casein gelation and its relation to rheological properties
Jun 1, 2026Zahra Tabatabaei, Diana Soto Aguilar, Jose C. Bonilla +2Materials Science Microscopy Image Analysis
Department of Computer Science, University of Copenhagen, Denmark. · Department of Green Technology, University of Southern Denmark, Denmark. · Department of Food Science, University of Copenhagen, Denmark.
Automated Erythrocyte Detection and Tracking for Retinal Blood Flow Quantification in Erythrocyte-Mediated Angiography
May 31, 2026Chiao-Yi Wang, Havish S Gadde, Yi-Ting Shen +3Medical Imaging Microscopy Image Analysis
Department of Bioengineering, University of Maryland, College Park, MD 20742, USA · Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA · Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742, USA
Single-Channel Tissue Segmentation via Cross-Modal Distillation from Foundation Models
May 30, 2026Sakib Mohammad, Jarin Ritu, Md Sakhawat HossainCross-Modal Knowledge Distillation Medical Image Segmentation
Department of Engineering Technology Fairmont State University Fairmont, WV, USA · Department of Electrical and Computer Engineering Texas A&M University College Station, TX, USA · Department of Mechanical Engineering Auburn University Auburn, AL, USA
SAM for Robust Mitochondria Instance Segmentation in Fluorescence Microscopy
May 29, 2026Suyog Jadhav, Dilip K. Prasad, Krishna AgarwalSynthetic Data Augmentation Instance Segmentation
UiT The Arctic University of Norway
Low-Magnification SEM May Suffice: Interpretable Deep Learning for Multi-Scale Fracture-Cause Classification in Zirconia-Toughened Alumina
May 28, 2026Julian Schmid, Pawel Astankow, Tom Vater +3Materials Science Explainable Image Classification
CeramTec GmbH, CeramTec-Platz 1–9, 73207 Plochingen, Germany · CeramTec
Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes
May 28, 2026Leonidas Zimianitis, Pasindu Thenahandi, Kai Buckhalter +10Point Tracking Human-in-the-Loop Annotation
Department of Computer Science, Old Dominion University, Norfolk, VA 23529, USA · Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA · The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA +4
A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring
May 25, 2026Adina Scheinfeld, Haotan Zhang, Shang Mu +53D Semantic Segmentation Microscopy Image Analysis
Tri-Institutional Program in Computational Biology & Medicine, Weill Cornell Medicine, New York, NY, USA · Department of Radiology, Weill Cornell Medicine, New York, NY, USA · Helen and Robert Appel Alzheimers Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA +4
Three-Step Conditional Diffusion 3D Reconstruction for Light-Field Microscopy
May 24, 2026Qihong Zhao, Shaokang Yan, Zhimin Qiao +23D Reconstruction Few-Step Diffusion Sampling
1Yanshan University · 2Peking University
ImPartial: Multi-channel Whole-Cell Segmentation using Partial Annotations
May 22, 2026Gunjan Shrivastava, Saad NadeemImage Segmentation Weakly Supervised Image Segmentation
Memorial Sloan Kettering Cancer Center, New York NY 10065, USA

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Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys

Zeyu Xia, Kan Ma, Sibo Cheng, Thomas Blackburn+6

Queensland University of Technology, Queensland 4000, Australia · School of Metallurgy and Materials, University of Birmingham, Birmingham B15 2SQ, United Kingdom. · Data Science Institute, Department of Computing, Imperial College London, London SW7 2AZ, United Kingdom.+4

Image Segmentation Materials Science Semantic Segmentation Microscopy Image Analysis

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The performance of advanced materials for extreme environments is underpinned by their microstructure, including the size and distribution of reinforcing phases. Chromium-based superalloys are a recently proposed alternative to conventional face-centred-cubic superalloys for high-temperature applications, such as Concentrated Solar Power, and their development requires efficient measurement of precipitate volume fraction and size distribution from electron microscopy images. Traditional fixed-threshold image processing is sensitive to background noise, generalises poorly across materials, and requires substantial manual measurement effort. To address these bottlenecks, this study proposes DT-SegNet, an end-to-end two-stage deep learning scheme based on YOLOv5 and SegFormer for object detection and segmentation in electron microscopy images. The approach combines the training efficiency of convolutional neural networks at the detection stage with the segmentation accuracy of a Vision Transformer. Numerical experiments show that DT-SegNet substantially outperforms state-of-the-art segmentation tools offered by Weka and ilastik across metrics including accuracy, precision, recall, and F1-score. The model provides a useful tool for alloy-development microstructure examinations and helps address the large datasets associated with high-throughput alloy development.

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