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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Predicting Steel Fatigue Life from Micrographs Using Physics-Informed Deep Learning
Jul 30, 2026Aryuemaan Kumar ChowdhuryMaterials Property Prediction Microscopy Image Analysis
Department of Lightweighting Engineering, Indian Institute of Technology Hyderabad, India · Research & Development, Oscowl AI, Hyderabad, India
ZMIS-SAM: Segment Anything Model Enhanced with Wavelet Transform for Zooplankton Microscopy Image Instance Segmentation
Jul 30, 2026Dekun Yuan, Zhongwei Li, Zheng Qiao +1Instance Segmentation Segment Anything Models
College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, 266580, China
Frequency-Aware Dual-Stream Learning for Balanced Realism and Fidelity in Electron Microscopy Imaging
Jul 24, 2026Longmi Gao, Zhengkai Zhao, Pan Gao +1Diffusion Models for Image Restoration Microscopy Image Analysis
College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. · School of computing, Mathematics, and Engineering, Charles Sturt University, NSW, Australia.
Physics-Informed Deep Learning Model for Cross-Modality Super-Resolution in Fluorescence Microscopy
Jul 23, 2026Mohammad Soltaninezhad, Elena Corbetta, Francisco Paez Larios +4Image-to-Image Translation Physics-Informed ML
Department “Photonic Data Science”, Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Center for Photonics in Infection Research (LPI), Jena, Germany · Work group “Photonic Data Science”, Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Center for Photonics in Infection Research (LPI), Jena, Germany · Institute of Applied Optics and Biophysics, Friedrich Schiller University Jena, Jena, Germany +3
SWITi: Quantifying and Reducing Tiling Artifacts with Sliding Window Inner Tiling
Jul 21, 2026Federico Carrara, Aman Kukde, Melisande Croft +2Image Reconstruction Microscopy Image Analysis
Fondazione Human Technopole, Milan, Italy · Università Campus Bio-Medico, Rome, Italy
scMIR: a vision-language foundation model for single-cell light microscopy image representation
Jul 21, 2026Yifan Shang, Jiahui Tan, Xiangxiang Zeng +1Cross-Modal Representation Learning Visual Representation Learning
Laser Metrology and Biomedicine Lab, Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China · State Key Laboratory of Chemo and Biosensing, College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China
Toward Optimal Adenovirus Detection Using YOLO26
Jul 20, 2026Olivier RukundoData Augmentation Object Detection
Department of Electronic and Computer Engineering; University of Limerick; Limerick, Ireland
Does Super-Resolution Preserve Defect Evidence? A Low-False-Call Benchmark for Semiconductor Inspection
Jul 19, 2026Shaoliang Yang, Jun WangIndustrial Inspection Microscopy Image Analysis
Santa Clara University Santa Clara, CA 95053, USA
Video to All-in-focus Image Reconstruction Algorithm for Automated Microscopic Urinalysis
Jul 15, 2026Chinmay Nema, Hari Om Aggrawal, Dipam Goswami +2Multi-Source Image Fusion Image Reconstruction
Birla Institute of Technology and Science Pilani, India · independent researcher, India · Institute of Mathematics and Image Computing, University of Lübeck, Germany +1
NEEDL-Bench: Dataset for Swiss Needle Cast and Stomata Detection in Microscopy Images
Jul 13, 2026Benjamin Blake, Declan McIntosh, Jürgen Ehlting +3Plant Disease Classification Small Object Detection
Electrical and Computer Engineering University of Victoria Victoria, Canada
HyperBank: A Differentiable Bank of Classical Priors for Few-Shot Spheroid Microscopy Segmentation
Jul 12, 2026M. Průšek, A. Novozámský, F. Šroubek +3Image Segmentation Microscopy Image Analysis
The Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czechia
The evolution of AI from image interpretation toward scientific inference in nanoparticle electron microscopy
Jul 11, 2026Evropi Toulkeridou, Jiafei Li, Leonardo Lari +1Materials Science Microscopy Image Analysis
Statistical Analysis and Optimal Design of Experiments Group, Department of Mathematics, University of Castilla-La Mancha, 45071 Toledo, Spain · Materials Science and Engineering, Guangdong Technion – Israel Institute of Technology, Shantou, Guangdong 515063, China · LAME Laboratory, Area Science Park Campus di Basovizza, SS14, KM163.5, 34149, Trieste, Italy +2
EMBRACE: A Multi-task Framework for Comprehensive Quality Assessment in Cleavage-stage Embryo
Jul 11, 2026Anwar Hussain Sofi, Jung-Hua Wang, Ming-Jer Chen +4Multi-Task Learning Microscopy Image Analysis
International Master Program in Applied Artificial Intelligence, National Taiwan Ocean University, Keelung, 202301, Taiwan · AI Research Center, National Taiwan Ocean University, Keelung 20224, Taiwan · Keelung, 202301, Taiwan +4
Tracking Intermittent Particles with Self-Learned Visual Features
Jul 10, 2026Raphael Reme, Victor Piriou, Alison Hanson +5Visual Object Tracking Microscopy Image Analysis
IP Paris, BIA, IDS, IMAGES · Institut Pasteur, Universit´e de Paris-Cit´e, CNRS UMR 3691, BioImage Analysis Unit F-75015 Paris, France · LTCI, Telecom Paris, Institut Polytechnique de Paris, France +3
ARGUS: Accelerated, Robust, General, and Unsupervised Cell Tracking Solutions
Jul 9, 2026Noah Jaitner, Kandice Tanner, Ingolf Sack +1Microscopy Image Analysis Multi-Object Tracking
Department of Radiology, Charité – Universitätsmedizin Berlin, 10117 Berlin, Germany · Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
Deep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation
Jul 6, 2026Runwei Guan, Shaofeng Liang, Jiacheng Weng +10Multimodal Fusion Microscopy Image Analysis
Thrust of AI, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China · Department of Oncology, Suzhou Xiangcheng People’s Hospital, Suzhou, China · FertiTech AI, Shanghai, China +7
Probe-EM: Targeted Neuron Tracing via Training-Free Semantic Verification
Jul 6, 2026Liuyun Jiang, Yanchao Zhang, Jinyue Guo +5Image Segmentation Microscopy Image Analysis
State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China · School of Future Technology, University of Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences +1
LeukocyteCount: Automatic Identification and Counting for leukocytes using Deep Learning
Jul 5, 2026Ahmed M. Sayed, Sondos A. Refaat, Abdallah M. Mostafa +2Object Counting Microscopy Image Analysis
Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt · 2Computer Science Department, Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt. · School of Information Technology and Computer Science +1
HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy
Jul 5, 2026Julius Riel, Vishwa Mohan Singh, Sai Anirudh Aryasomayajula +10Contrastive Learning Hierarchical Representation Learning
TUM.ai, Munich, Germany · Ludwig-Maximilian-University, Munich, Germany · Technical University of Munich, Munich, Germany +6
Plug-and-Play Volumetric Reconstruction for Compressive Sensing Light-Sheet Microscopy
Jul 2, 2026Jianqing Jia, Yi Gong, Xinyuan Zhang +3Image Reconstruction Compressed Sensing
School of Data and Information Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Department of Mathematics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA +1
MalariAI: A Label-Resilient Decoupled Framework for Universal Cell Segmentation and Explainable Stage Classification in Dense Malaria Blood Smears
Jul 1, 2026Kaysarul Anas Apurba, Md Hasibul Hasan, Mohammed Ali +1Explainable Medical Image Analysis Microscopy Image Analysis
Department of Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh · Department of Computer Science and Engineering, International University of Business Agriculture and Technology (IUBAT), Dhaka 1230, Bangladesh
Resolving superposition in AI for interpretability and cross-modal alignment in patient-neuronal images
Jun 30, 2026Jisung Park, Seohyeon Kang, Daeun Yoo +8Feature Superposition Neural Representation Geometry
1KAIST · 2Konyang University · 4UCL Queen Square Institute of Neurology & The Francis Crick Institute +1
SkelEM: Training-Signal Decoupling of Skeleton and Diffusion for Self-supervised Axial Super-Resolution in Volume Microscopy
Jun 29, 2026Bohao Chen, Yanchao Zhang, Yanan Lv +3Diffusion Models for Image Restoration Microscopy Image Analysis
School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, China · State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, China · School of Future Technology, University of Chinese Academy of Sciences, China +1
STEMGym: Benchmarking Sequential Decision-Making under Dose Budgets in Autonomous Electron Microscopy
Jun 28, 2026Can Polat, Erchin Serpedin, Mustafa Kurban +1Autonomous Experimentation Microscopy Image Analysis
Dept. of Electrical & Computer Eng. Texas A&M Univ. College Station, TX, USA · Dept. of Prosthetics & Orthotics College of Science & Eng. Ankara Univ., Ankara, Turkey · Hamad Bin Khalifa Univ. and Texas A&M Univ. at Qatar Doha, Qatar
SVC-Probe: A Framework for Evaluating Perturbation Generalization in Spatial Foundation-Model Embeddings
Jun 26, 2026Jake Y. Chen, Huu Phong Nguyen, Fuad Al Abir +1Single-Cell Perturbation Modeling Representation Probing
Department of Biomedical Informatics and Data Science, University of Alabama at Birmingham, Birmingham, AL, USA. · System Pharmacology and AI Research Center, University of Alabama at Birmingham, Birmingham, AL, USA.
A Zero-Shot Deep Image Prior Framework for Denoising and Deconvolution in Fluorescence Microscopy
Jun 26, 2026Xiangyu Qian, Jing Liu, Yunqing Tang +2Physics-Guided Image Restoration Image Restoration
Wenzhou Key Laboratory of Biomedical Imaging, Zhejiang Key Laboratory of Soft Matter Biomedical Materials, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325000, China · Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology
Jun 25, 2026Kyriaki-Margarita Bintsi, Sparsh Makharia, Yaël Balbastre +4Synthetic Data Augmentation Synthetic Data Generation
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States · Krea University, Sri City, Andhra Pradesh, India · Department of Experimental Psychology, University College London, London, United Kingdom +3
3D Masked Autoencoders are Robust Learners of Volumetric and Multimodal Cellular Representations for Microscopy
Jun 22, 2026Amirhossein Kardoost, Lion Gleiter, Tingying Peng +1Cross-Modal Representation Learning Masked Autoencoders
Institute of AI for Health & Helmholtz AI, Computational Health Center, Helmholtz Munich – German Research Center for Environmental Health, Neuherberg, Germany · Munich Center for Machine Learning (MCML), Munich, Germany · Department of Medicine III, Ludwig-Maximilian-University Hospital, Munich, Germany +2
PHOEBI: An Open-World Benchmark for Bacterial Identification in Phase-Contrast Microscopy
Jun 22, 2026Aaditya Baranwal, Md Jahid Hasan, Shruti VyasPrototype-Based Classification Multi-Label Classification
University of Central Florida
Benchmarking Vision-Language Models for Microscopic Plant Image Understanding
Jun 21, 2026Tianqi Wei, Xin Yu, Zhi Chen +2VLM Evaluation Microscopy Image Analysis
The University of Queensland · Adelaide University · University of Southern Queensland

Jul 30, 2026, cs.LGJ/K move · Enter open · S save

Predicting Steel Fatigue Life from Micrographs Using Physics-Informed Deep Learning

Aryuemaan Kumar Chowdhury

Department of Lightweighting Engineering, Indian Institute of Technology Hyderabad, India · Research & Development, Oscowl AI, Hyderabad, India

Materials Property Prediction Microscopy Image Analysis

Open paper AskPDF arXiv

Here is the plain text version optimized for arXiv's submission form. Custom macros (like \CV and \SI) have been converted to standard text/math so they render correctly on the webpage: Evaluating the fatigue life of structural steels conventionally requires mechanical testing lasting tens to hundreds of hours, making it impractical for rapid quality control. We present CV, a computer vision framework that estimates the fatigue life (

\log N_f

) of lightweight alloy steels directly from optical micrographs without physical testing.The pipeline features a seven-stage OpenCV preprocessing routine to remove artifacts, a 28-dimensional physics-informed feature extractor (quantifying crack morphology, grain structure, porosity, and texture), and a CNN regression model trained with a Gaussian negative log-likelihood (GNLL) loss to jointly predict

\log N_f

and sample-specific uncertainty

\hatσ

.Evaluating three architectures (SE-CNN, ResNet-50, VGG-16) on a synthetic micrograph benchmark, ResNet-50 achieves

R^2 = 0.93

, RMSE = 0.18 log-cycles, and macro-F1 = 0.91. The GNLL objective reduces Expected Calibration Error by 76% compared to a mean-squared-error baseline (ECE:

0.089 \rightarrow 0.021

). Grad-CAM maps confirm the network attends to metallurgically meaningful microstructural features.Running in under 65 ms per image, the pipeline and synthetic dataset generator are open-sourced. Because validation relies entirely on synthetic micrographs, these results demonstrate methodological soundness under simulated conditions; a domain-transfer study on real field samples is the immediate next step.

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