Organelles form an interconnected network whose morphology, positioning and interactions reflect cellular state. However, reproducibly quantifying these organelle phenotypes across large cell populati...

Nanorulers serve as essential calibration standards to validate optical super-resolution microscopy down to the Ångström scale. Complementary DNA-, protein-, and virus-based scaffolds provide unique ...

Read the full paper: Complementary volume electron microscopy-based approaches reveal ultrastructural changes in germline intercellular bridges

Join our one-day online workshop on AI-powered image analysis for PhD students, professors, and professional researchers, led by Nikolay Oskolkov, Group Leader/PI at LIOS. This intensive hands-on seminar bridges rigorous theory and practical implementation, showing how to turn microscopy, high-throughput imaging, and clinical image datasets into reproducible, publication-ready measurements. Participants will work with ChatGPT-assisted coding, Jupyter notebooks on Linux, and Python-based tools to build end-to-end image analysis workflows covering CNNs, transfer learning, UNet, Mask R-CNN, object detection, OpenCV, OTSU thresholding, Bayesian uncertainty quantification, GRAD-CAM interpretability, evaluation metrics, experiment tracking, and reproducible reporting. By the end of the workshop, attendees will be able to design and implement segmentation, detection, and classification pipelines for biological image data, critically evaluate model performance, and prepare robust analyses for theses, papers, and grant applications. The seminar is delivered live via Zoom, with recordings, slides, code, data, and a monitored Q&A forum available for 30 days after the event, plus an official Instats certificate of completion. #ComputationalBiology #DataAnalytics #DataScience #MachineLearning #BiomedicalEngineering #Bioinformatics #ComputerScience #ArtificialIntelligence #ChatGPT #Jupyter #Linux #Python #R #Research #ResearchTraining #Instats

Embryonic Development Stages of Medfly Classified by Deep Learning.

The Microscope Software Market is expanding as life science research centers, semiconductor fabricators, material testing laboratories, and medical diagnostic facilities transition toward automated, high-resolution imaging and cloud-based analytical workflows. Growth is supported by rising investments in biomedical R&D, advances in AI-assisted diagnostics, 3D image reconstruction, and the increasing demand for integrated microscopy systems. The Microscope…

Scientific Data - High-fidelity super-resolution microscopy datasets spanning multispectral to hyperspectral domains via diffractive optics

Innovation in microscopy has often been critical in advancing both fundamental science and technological progress. Notably, the evolution of ultrafast near-field optical nano-spectroscopy and nano-ima...

We are seeking a new Director for the Microscopy Bioscience Platform (https://www.bio.cam.ac.uk/microscopy-platform), based within the School of the Biological Sciences city centre campus. This strate...

Cytological tests are a common method of screening for cancer cells in stained cell samples. Using a microscope, pathologists examine cells collected from bodily fluids, looking for telltale signs of malignancy, like enlarged nuclei or abnormal cell shapes.

15 September 2026 (Navroze Bureau) : A new super-resolution microscope developed at the Rosalind Franklin Institute in Oxfordshire could give scientists an unprecedented view of the human gut and help them better understand inflammatory bowel disease (IBD), including Crohn’s disease and ulcerative colitis. The instrument, based on stimulated emission depletion (STED) microscopy, can resolve structures at around 20 nanometres…

15 September 2026 Punjab Khabarnama Bureau  : A new super-resolution microscope developed at the Rosalind Franklin Institute in Oxfordshire could give scientists an unprecedented view of the human gut and help them better understand inflammatory bowel disease (IBD), including Crohn’s disease and ulcerative colitis. The instrument, based on stimulated emission depletion (STED) microscopy, can resolve structures at around…

A new chemistry-based super-resolution imaging framework is described, enabling 3D, laser-free, highly sensitive and ultralong-term imaging of live cells which overcomes the limitations in spatiotempo...

Xing, F. & Yang, L. Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review. IEEE Rev. Biomed. Eng. 9, 234–263 (2016). Isensee, F., Jaeger, P. F., Kohl, S. A., Petersen, J. & Maier-Hein, K. H. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18, 203–211 (2021). Zhang, J., Ma, K., Kapse, S., Saltz, J., Vakalopoulou, M., Prasanna, P. & Samaras, D. SAM-Path: a segment anything model for semantic segmentation in digital pathology. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops (eds Celebi, M. E. et al.) 161–170 (Springer, 2023). Hörst, F. et al. CellViT++: energy-efficient and adaptive cell segmentation and classification using foundation models. Comput. Methods Programs Biomed. 277, 109206 (2026). Kirillov, A. et al. Segment anything. In Proc. IEEE/CVF International Conference on Computer Vision 4015–4026 (IEEE, 2023). Ma, J. et al. Segment anything in medical images. Nat. Commun. 15, 654 (2024). Cheng, J. et al. SAM-Med2D. Preprint at https://doi.org/10.48550/arXiv.2308.16184 (2023). Zhao, T. et al. A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities. Nat. Methods 22, 166–176 (2025). Archit, A. et al. Segment anything for microscopy. Nat. Methods 22, 579–591...

We provide a description of human embryonic cerebral arterial development based on whole-mount immunostaining, tissue clearing, three-dimensional (3D) light-sheet microscopy imaging, and anatomically...

The complete synaptic connectome and the comprehensive annotation of all cell types based on a whole-body electron microscopy volume of an annelid larva.

Bovine babesiosis, caused by Babesia bovis, is a tick-borne hemoparasitic disease causing substantial economic losses to cattle industries worldwide. Current diagnostic methods, particularly microscopy, lack sensitivity for subclinical infections, while molecular assays require sophisticated equipment unsuitable for field use. To address this gap, we developed a novel diagnostic assay integrating enzymatic recombinase amplification (ERA) with CRISPR-Cas12a-mediated trans-cleavage, targeting the...

Unsere Foto-Risskarte ist nicht nur eine einfache Rissbreitenkarte, sondern erfüllt viele nützliche Funktionen bei der Foto-Dokumentation. Am besten Sie sehen sich das kurze Video an, darin erklären w...