- Видео 109
- Просмотров 66 735
I2K Conference
Добавлен 16 фев 2022
For more details about the I2K Conference visit i2kconference.org or contacts us at i2kconference@gmail.com.
Versatile Deep Learning for 2D and 3D Bioimage Analysis with CytoDL
Versatile Deep Learning for 2D and 3D Bioimage Analysis with CytoDL | Benjamin Morris | October 30th, Virtual I2K 2024
Authors: Matheus Viana, Allen Institute for Cell Science; Benji Morris, Allen Institute for Cell Science
Description:
Target Audience: Biologists, microscopists, and researchers with basic Python experience interested in applying deep learning to their image data.
Data scientists and machine learning engineers seeking to expand their knowledge in bioimage analysis.
Workshop Description: This hands-on workshop will introduce you to CytoDL, a powerful deep learning framework developed by the Allen Institute for Cell Science. CytoDL is designed to streamline the analysis of bi...
Authors: Matheus Viana, Allen Institute for Cell Science; Benji Morris, Allen Institute for Cell Science
Description:
Target Audience: Biologists, microscopists, and researchers with basic Python experience interested in applying deep learning to their image data.
Data scientists and machine learning engineers seeking to expand their knowledge in bioimage analysis.
Workshop Description: This hands-on workshop will introduce you to CytoDL, a powerful deep learning framework developed by the Allen Institute for Cell Science. CytoDL is designed to streamline the analysis of bi...
Просмотров: 225
Видео
ezomero - making your OMERO life easier
Просмотров 1322 месяца назад
ezomero - making your OMERO life easier | Erick Ratamero | October 30th, Virtual I2K 2024 Authors: Erick Ratamero, The Jackson Laboratory Description: In this workshop, we will discuss the different APIs and libraries for interacting with OMERO from Python. In particular, we will show how to use ezomero for tasks such as creating a session, navigating through data and retrieving images. Time-pe...
Deep Learning for Microscopy
Просмотров 1142 месяца назад
Deep Learning for Microscopy | Myat Mo | October 30th, Virtual I2K 2024 Authors: Myat Mo Description: This workshop provides a comprehensive guide to building deep learning models for microscopy images. Participants will explore the complete workflow of a deep learning project; preparing and preprocessing large image datasets, training a U-Net model, tracking experiments with Neptune.ai, and ev...
Introducing InstanSeg, a deep learning-based method for the segmentation of cells in brightfield
Просмотров 3332 месяца назад
Introducing InstanSeg, a deep learning-based method for the segmentation of cells in brightfield and fluorescence images | Thibaut Goldsborough | October 30th, Virtual I2K 2024 Authors: Thibaut Goldsborough, University of Edinburgh; Alan O'Callaghan, University of Edinburgh; Fiona Inglis, University of Edinburgh; Léo Leplat, University of Edinburgh; Laura Nicolás Sáenz, University of Edinburgh;...
multiview-stitcher: image registration and fusion in python and napari
Просмотров 1322 месяца назад
multiview-stitcher: image registration and fusion in python and napari | Marvin Albert | October 30th, Virtual I2K 2024 Authors: Marvin Albert, Institut Pasteur Paris Description: Multiview-stitcher is a python toolbox for registering and fusing multi-view / multi-positioning images in 2-3D. In this workshop I'll showcase its use as 1) a napari plugin for interactive stitching of image layers a...
Using Fiji from Python-based software
Просмотров 1052 месяца назад
Using Fiji from Python-based software | Gabriel Selzer | October 30th, Virtual I2K 2024 Authors: Gabriel Selzer, Center for Quantitative Cell Imaging, University of Wisconsin-Madison; Mark Hiner, Center for Quantitative Cell Imaging, University of Wisconsin-Madison; Curtis Rueden, Center for Quantitative Cell Imaging, University of Wisconsin-Madison Description: The Python software ecosystem ha...
Unlock the Potential of Your Microscopy Images with Morpheus Software!
Просмотров 792 месяца назад
Unlock the Potential of Your Microscopy Images with Morpheus Software! | Suganya Sivagurunathan | October 30th, Virtual I2K 2024 Authors: Suganya Sivagurunathan, Imaging Platform, Broad Institute of MIT and Harvard Description: Want to learn how to explore the hidden biology of your microscopy images? This workshop will help you understand how to turn microscopy images into “image-based/morphol...
QuPath for Python Programmers
Просмотров 2702 месяца назад
QuPath for Python Programmers | Alan O'Callaghan | October 30th, Virtual I2K 2024 Authors: Alan O'Callaghan, University of Edinburgh; Léo Leplat, University of Edinburgh; Fiona Inglis, University of Edinburgh; Peter Bankhead, University of Edinburgh; Laura Nicolás Sáenz, University of Edinburgh Description: QuPath is a popular, open-source platform for visualizing, annotating and analyzing comp...
clEsperanto: GPU-accelerated Image Processing Library
Просмотров 892 месяца назад
clEsperanto: GPU-accelerated Image Processing Library | Stephane Rigaud | October 30th, Virtual I2K 2024 Authors: 1 Stephane Rigaud, Image Analysis Hub, Institut Pasteur, Paris, France 2 Robert Haase, ScaDS.AI, Leipzig, Germany Description: The clEsperanto project equips users and developers with GPU-accelerated image-processing components. It ships a library with which you will be able to buil...
Mastering Mastodon: Tracking, Analyzing and Visualizing Inside Large Biological 3D Timelapse Dataset
Просмотров 942 месяца назад
Mastering Mastodon: Tracking, Analyzing, and Visualizing Inside Large Biological 3D Timelapse Datasets | Johannes Girstmair, Stefan Hahmann | October 30th, Virtual I2K 2024 Authors: Johannes Girstmair, MPI-CBG; Stefan Hahmann, TU Dresden Description: Join our workshop to learn how to create a Mastodon project from 3D timelapse image data. We will demonstrate how to track and interact with objec...
Single-cell segmentation, tracking, annotation, and quantification with Cell-ACDC
Просмотров 3282 месяца назад
Single-cell segmentation, tracking, annotation, and quantification with Cell-ACDC | Francesco Padovani | October 30th, Virtual I2K 2024 Authors: Francesco Padovani, Institute of Functional Epigenetics, Molecular Targets and Therapeutics Center, Helmholtz Zentrum Muenchen, Neuherberg, Germany; Benedikt Mairhoermann, Institute of Functional Epigenetics, Molecular Targets and Therapeutics Center, ...
Fine tuning deep learning models with the active learning plugin for Napari
Просмотров 902 месяца назад
Fine tuning deep learning models with the active learning plugin for Napari | Fernando Cervantes | October 29th, Virtual I2K 2024 Authors: Fernando Cervantes, The Jackson Laboratory Description: This is a demo presentation of the active learning plugin for Napari developed by the Research IT department at The Jackson Laboratory. This plugin allows fine tuning deep learning models with large-sca...
PhasorPy: an open-source Python library for the analysis of fluorescence lifetime and hyperspectral
Просмотров 702 месяца назад
PhasorPy: an open-source Python library for the analysis of fluorescence lifetime and hyperspectral images using the phasor approach | Bruno Pannunzio | October 29th, Virtual I2K 2024 Authors: Bruno Pannunzio, Advanced Bioimaging Unit at Institut Pasteur de Montevideo; Bruno Schuty, Advanced Bioimaging Unit at Institut Pasteur de Montevideo; Christoph Gohlke, University of California Irvine; Le...
SAMJ: Fast annotation with foundation models on Java-based Bioimage Platforms
Просмотров 922 месяца назад
SAMJ: Fast annotation with foundation models on Java-based Bioimage Platforms | Carlos Garcia-lopez-de-haro | October 29th, Virtual I2K 2024 Authors: Carlos García-López-de-Haro, Bioimage Analysis Unit, Institut Pasteur, Université Paris Cité, Paris, France; Caterina Fuster-Barceló, Bioengineering Department, Universidad Carlos III de Madrid, Leganés, Spain - Instituto de Investigación Sanitari...
Browsing, Filtering, and Downloading Data in the Cell Painting Gallery
Просмотров 372 месяца назад
Browsing, Filtering, and Downloading Data in the Cell Painting Gallery | Erin Weisbart | October 29th, Virtual I2K 2024 Authors: Erin Weisbart, Broad Institute of MIT and Harvard Description: The Cell Painting Gallery is an open repository of ~700 TB of public Cell Painting images and corresponding morphological profiling data. In this workshop you will be introduced to several ways to browse, ...
Piximi: Installation-free Segmentation and Calssification in the Browser
Просмотров 932 месяца назад
Piximi: Installation-free Segmentation and Calssification in the Browser
Segmentation & Scripting with Fiji/ImageJ
Просмотров 2552 месяца назад
Segmentation & Scripting with Fiji/ImageJ
Scalable Interactive Visualizations and AI-based Image Processing in the WIPP Image Analytics
Просмотров 612 месяца назад
Scalable Interactive Visualizations and AI-based Image Processing in the WIPP Image Analytics
Object tracking and track analysis using TrackMate and CellTracksColab
Просмотров 1492 месяца назад
Object tracking and track analysis using TrackMate and CellTracksColab
Connecting CellProfiler to ilastik and Cellpose
Просмотров 1712 месяца назад
Connecting CellProfiler to ilastik and Cellpose
TrackMate-Lacss: A plugin for 2D or 3D single-cell segmentation with time-lapse capabilities
Просмотров 542 месяца назад
TrackMate-Lacss: A plugin for 2D or 3D single-cell segmentation with time-lapse capabilities
Jupyter Notebooks and Napari Widgets for SAM, Cellpose, Stardist and friends
Просмотров 642 месяца назад
Jupyter Notebooks and Napari Widgets for SAM, Cellpose, Stardist and friends
Interactive phasor analysis of FLIM data using FLUTE
Просмотров 1582 месяца назад
Interactive phasor analysis of FLIM data using FLUTE
Introducing napari-ndev: a plugin for generalizable start-to-finish batch analysis without code
Просмотров 832 месяца назад
Introducing napari-ndev: a plugin for generalizable start-to-finish batch analysis without code
Napari meets Cellpose: Developing Workflows for Finetuning Biological Instance Segmentation Models
Просмотров 1142 месяца назад
Napari meets Cellpose: Developing Workflows for Finetuning Biological Instance Segmentation Models