CSU-W1 Microscopy Papers – Page 2

⭐ Foundational

Autism genes converge on asynchronous development of shared neuron classes.

Nature 2022 📊 340

Genetic risk for autism spectrum disorder (ASD) is associated with hundreds of genes spanning a wide range of biological functions1-6. The alterations in the human brain...

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⭐ Foundational

NETosis proceeds by cytoskeleton and endomembrane disassembly and PAD4-mediated chromatin decondensation and nuclear envelope rupture.

Proceedings of the National Academy of Sciences of the United States of America 2020 📊 364

Neutrophil extracellular traps (NETs) are web-like DNA structures decorated with histones and cytotoxic proteins that are released by activated neutrophils to trap and neutralize pathogens...

Confocal Laser Scanning Microscopy Fluorescence Microscopy Immunofluorescence Microscopy Live Cell Imaging Spinning Disk Confocal Microscopy Widefield Fluorescence Microscopy A1 Axiovert CSU-W1 CSU-X1 LSM 510 Nikon A1 Confocal Ti Ti2 Yokogawa CSU-W1 Spinning Disk Yokogawa CSU-X1 Yokogawa CSU-X1 Spinning Disk Zeiss Axiovert Zeiss LSM 510 Zeiss LSM 510 Confocal Excel Alexa Fluor 488 Alexa Fluor 594 Alexa Fluor 647 Calcein DAPI EGFP ER-Tracker ER-Tracker Red GFP mApple mCherry mEmerald SiR-Actin SiR-Tubulin SYTOX SYTOX Green Fixation Immunofluorescence Live Imaging Permeabilization Human Promyelocytic Leukemia HL-60 Primary Neutrophils Nikon A1 Confocal Yokogawa CSU-W1 Spinning Disk Yokogawa CSU-X1 Spinning Disk Zeiss LSM 510 Confocal Excel Boston Children's Hospital Harvard Medical School National Institutes of Health NIH Northwestern University s Hospital University Feinberg School of Medicine University of Texas Southwestern Medical Center

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⭐ Foundational

Democratising deep learning for microscopy with ZeroCostDL4Mic.

Nature communications 2021 📊 456

Abstract Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm and innovations fuelled by...

Confocal Laser Scanning Microscopy DNA Points Accumulation for Imaging in Nanoscale Topography Live Cell Imaging Single-Molecule Localization Microscopy Spinning Disk Confocal Microscopy Stochastic Optical Reconstruction Microscopy Structured Illumination Microscopy Super-Resolution Microscopy Widefield Fluorescence Microscopy Z-Stack Imaging Axio Observer CSU-W1 Leica SP8 Leica SP8 Confocal N-STORM Nikon N-STORM Nikon N-STORM Super-Resolution Observer 7 SP8 Ti Yokogawa CSU-W1 Yokogawa CSU-W1 Spinning Disk Zeiss Axio Observer NIS-Elements SlideBook Alexa Fluor 488 Alexa Fluor 594 Alexa Fluor 647 ATTO 655 GFP Hoechst 33342 mRFP Phalloidin RFP Cell Culture Clustered Regularly Interspaced Short Palindromic Repeats Fixation Glutaraldehyde Lentiviral Live Imaging Permeabilization HeLa (Henrietta Lacks)Human Breast Adenocarcinoma MDA-MB-231 Human Osteosarcoma U2OS Leica SP8 Confocal Nikon N-STORM Super-Resolution Yokogawa CSU-W1 Spinning Disk Fiji ImageJ Imaris StarDist ThunderSTORM TrackMate U-Net YOLOv NIS-Elements SlideBook Python Åbo Akademi University Akademi University CNRS Francis Crick Institute Imperial College London Israel Institute of Technology Max Planck Max Planck Institute Max Planck Institute for Molecular Cell Biology and Genetics Max Planck Institute for Physics of Complex Systems Newcastle University The Classical Association University College London University Frankfurt University of Turku University of Turku and Åbo Akademi University Cytiva Gibco Life Technologies MatTek Santa Cruz Biotechnology Sigma-Aldrich Thermo Fisher Scientific Mouse Rabbit EMCCD PCO sCMOS Photometrics EMCCD Photometrics evolve PMT

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⭐ Foundational

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images.

Cell 2018 📊 589

Microscopy is a central method in life sciences. Many popular methods, such as antibody labeling, are used to add physical fluorescent labels to specific cellular...

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CSU-W1

Autism genes converge on asynchronous development of shared neuron classes.

NETosis proceeds by cytoskeleton and endomembrane disassembly and PAD4-mediated chromatin decondensation and nuclear envelope rupture.

Democratising deep learning for microscopy with ZeroCostDL4Mic.

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images.

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