Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections
Fraunhofer Institute for Computer Graphics Research (IGD)（弗劳恩霍夫计算机图形学研究所（IGD））；Ernst Moritz Arndt University（恩斯特·莫里茨·阿恩特大学）；Centre for Research on Ecology and Forestry Applications (CREAF)（生态与林业应用研究中心（CREAF））；University of Rostock（罗斯托克大学）
Alexander Gillert, Giulia Resente, Alba Anadon-Rosell, Martin Wilmking, Uwe Freiherr von Lukas
We address the problem of detecting tree rings in microscopy images of shrub cross sections. This can be regarded as a special case of the instance segmentation task with several unique challenges such as the concentric circular ring shape of the objects and high precision requirements that result in inadequate performance of existing methods. We propose a new iterative method which we term Iterative Next Boundary Detection (INBD). It intuitively models the natural growth direction, starting from the center of the shrub cross section and detecting the next ring boundary in each iteration step. In our experiments, INBD shows superior performance to generic instance segmentation methods and is the only one with a built-in notion of chronological order. Our dataset and source code are available at http://github.com/alexander-g/INBD.
RDCNet: Instance segmentation with a minimalist recurrent residual network
Friedrich Miescher Institute for Biomedical Research (FMI)（弗里德里希·米歇勒生物医学研究所（FMI））；Faculty of Sciences, University of Basel（巴塞尔大学理学院）；University of Basel（巴塞尔大学）
A Fully Automatic Pipeline for 3D Dendrite Instance Segmentation in SBF-SEM
A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland（东芬兰大学A.I.维尔塔宁分子科学研究所）；Electron Microscopy Unit, Institute of Biotechnology, University of Helsinki（赫尔辛基大学生物技术研究所电子显微镜部门）
CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy
Tsinghua University（清华大学）；Tsinghua Laboratory of Brain and Intelligence（清华大学生物医学工程系脑与智能实验室）；IDG/McGovern Institute for Brain Research（IDG/麦戈文脑科学研究所）；School of Basic Medical Sciences（医学科学系）；Tsinghua-Peking Center for Life Sciences（清华-北京大学生命科学联合中心）
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
École Polytechnique de Montréal（蒙特利尔理工学院）；Montreal Institute for Learning Algorithms（蒙特利尔学习算法研究所）；Imagia Inc.（Imagia公司）；Université de Montréal（蒙特利尔大学）；CHUM Research Center（CHUM研究中心）
MTFlow: Time-Conditioned Flow Matching for Microtubule Segmentation in Noisy Microscopy Images
CNRS, Univ. Rennes, Institute of Genetics and Development of Rennes (IGDR), Rennes, France（法国里昂大学CNRS研究所、里昂大学基因与发育研究所）；TIAD Laboratory, Sciences and Technology Faculty, Sultan Moulay Slimane Univ.（摩洛哥苏丹穆莱·西拉曼大学科技学院TIAD实验室）
A Modified Cross Correlation Algorithm for Reference-free Image Alignment of Non-Circular Projections in Single-Particle Electron Microscopy
Department of Mechanical Engineering, University of Texas at Dallas Richardson, TX, 75080, USA（德克萨斯大学达拉斯分校机械工程系）；Department of Mechanical Engineering, Johns Hopkins University Baltimore, MD, 21218, USA（约翰霍普金斯大学机械工程系）
Self-Tuning Regularization for Image Scanning Microscopy
MaLGa Center, DIBRIS, University of Genoa（MaLGa中心，DIBRIS，热那亚大学）；MMS, Istituto Italiano di Tecnologia (IIT)（MMS，意大利技术研究院（IIT））；CSML, Istituto Italiano di Tecnologia (IIT)（CSML，意大利技术研究院（IIT））
High-speed real-time single-pixel microscopy based on Fourier sampling
Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Electronic Engineering, Tsinghua University（清华大学信息科学与技术国家实验室，电子工程系，清华大学）；Department of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University（清华大学生物医学工程系，医学院，传染病诊治协同创新中心，清华大学）
I2I-PR: Deep Iterative Refinement for Phase Retrieval using Image-to-Image Diffusion Models
Department of Electrical Engineering, Middle East Technical University (METU)（电子工程系，中东技术大学）；Department of Applied Mathematics and Computer Science, Technical University of Denmark（应用数学与计算机科学系，丹麦技术大学）
Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer
Institute for Applied Medical Informatics, Institute of Computational Neuroscience, Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Germany（应用医学信息学研究所、计算神经科学研究所、生物医学人工智能中心（bAIome）、汉堡-埃彭多夫大学医学中心，德国）；Institute for Biomedical Imaging, Hamburg University of Technology, Hamburg, Germany（生物医学成像研究所、汉堡技术大学、汉堡，德国）；Department of Biomedical Imaging, University Medical Center Hamburg-Eppendorf, Germany（生物医学成像系、汉堡-埃彭多夫大学医学中心，德国）；Fraunhofer Research Institution for Individualized Medical Technology（弗劳恩霍夫个性化医疗技术研究机构）；Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Germany（医学微生物学研究所、病毒学与卫生学、汉堡-埃彭多夫大学医学中心，德国）；Institute of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, Germany（生物化学与分子细胞生物学研究所、汉堡-埃彭多夫大学医学中心，德国）
An automated pipeline to create an atlas of in situ hybridization gene expression data in the adult marmoset brain
RIKEN Center for Brain Science（理化学研究所脑科学中心）；Institute of Fundamental Technological Research, Polish Academy of Sciences（波兰科学院基础技术研究所）；Univ Montpellier（蒙彼利埃大学）；IMT Mines Alès（法国国立高等矿业电信学校阿莱斯分校）
CurvSegFlow: Time-Conditioned Flow Matching for Robust Segmentation of Curvilinear Structures in Noisy Biomedical Images
CNRS, Univ. Rennes, Institute of Genetics and Development of Rennes (IGDR)（法国国家科学研究中心、雷恩大学、雷恩遗传与发育研究所）；TIAD Laboratory, Sciences and Technology Faculty, Sultan Moulay Slimane Univ（苏丹穆莱·斯利曼大学科学与技术学院TIAD实验室）；Institute of Biotechnology, Czech Academy of Sciences（捷克科学院生物技术研究所）
