Slide (41)

Contents

Slide (41)#

Adding a Workflow to BIAFLOWS#

Sébastien Tosi, Volker Baecker, Benjamin Pavie

Licensed BSD-2-CLAUSE

Tags: Neubias, Bioimage Analysis

Content type: Slide

RoccoDAnt/Defragmentation_TrainingSchool_EOSC-Life_2022


Bio Image Analysis#

Christian Tischer

Licensed UNKNOWN

Tags: Bioimage Analysis

Content type: Slide

tischi/presentation-image-analysis


Bio-Image Data Strudel for Workshop on Research Data Management in TU Dresden Core Facilities#

Cornelia Wetzker

Published 2023-11-08

Licensed CC-BY-4.0

This presentation gives a short outline of the complexity of data and metadata in the bioimaging universe. It introduces NFDI4BIOIMAGE as a newly formed consortium as part of the German ‘Nationale Forschungsdateninfrastruktur’ (NFDI) and its goals and tools for data management including its current members on TU Dresden campus.  

Tags: Research Data Management, Tu Dresden, Bioimage Data, Nfdi4Bioimage

Content type: Slide

https://zenodo.org/records/10083555

https://doi.org/10.5281/zenodo.10083555


Bio-image Analysis with the Help of Large Language Models#

Robert Haase

Published 2024-03-13

Licensed CC-BY-4.0

Large Language Models (LLMs) change the way how we use computers. This also has impact on the bio-image analysis community. We can generate code that analyzes biomedical image data if we ask the right prompts. This talk outlines introduces basic principles, explains prompt engineering and how to apply it to bio-image analysis. We also compare how different LLM vendors perform on code generation tasks and which challenges are ahead for the bio-image analysis community.

Tags: Large Language Models, Python

Content type: Slide

https://zenodo.org/records/10815329

https://doi.org/10.5281/zenodo.10815329


Building a Bioimage Analysis Workflow using Deep Learning#

Estibaliz Gómez-de-Mariscal\

Licensed UNKNOWN

Tags: Artificial Intelligence, Bioimage Analysis

Content type: Slide

esgomezm/NEUBIAS_chapter_DL_2020


CellProfiler Introduction#

Anna Klemm

Licensed UNKNOWN

Tags: Neubias, Cellprofiler, Bioimage Analysis

Content type: Slide

ahklemm/CellProfiler_Introduction


Challenges and opportunities for bio-image analysis core-facilities#

Robert Haase

Licensed CC-BY-4.0

Tags: Research Data Management, Bioimage Analysis, Nfdi4Bioimage

Content type: Slide

https://f1000research.com/slides/12-1054


Creating open computational curricula#

Kari Jordan, Zhian Kamvar, Toby Hodges

Published 2020-12-11

Licensed CC-BY-4.0

In this interactive session, Carpentries team members will guide attendees through three stages of the backward design process to create a lesson development plan for the open source tool of their choosing. Attendees will leave having identified what practical skills they aim to teach (learning objectives), an approach for designing challenge questions (formative assessment), and mechanisms to give and receive feedback.

Content type: Slide

https://zenodo.org/records/4317149

https://doi.org/10.5281/zenodo.4317149


DL@MBL 2021 Exercises#

Jan Funke, Constantin Pape, Morgan Schwartz, Xiaoyan

Licensed UNKNOWN

Tags: Artificial Intelligence, Bioimage Analysis

Content type: Slide, Notebook

JLrumberger/DL-MBL-2021


Generative artificial intelligence for bio-image analysis#

Robert Haase

Licensed CC-BY-4.0

Tags: Python, Bioimage Analysis, Artificial Intelligence

Content type: Slide

https://f1000research.com/slides/12-971


Hitchhiking through a diverse Bio-image Analysis Software Universe#

Robert Haase

Published 2022-07-22

Licensed CC-BY-4.0

Overview about decision making and how to influence decisions in the bio-image analysis software context.

Tags: Bioimage Analysis

Content type: Slide, Presentation

https://f1000research.com/slides/11-746

https://doi.org/10.7490/f1000research.1119026.1


I3D:bio’s OMERO training material: Re-usable, adjustable, multi-purpose slides for local user training#

Christian Schmidt, Michele Bortolomeazzi, Tom Boissonnet, Carsten Fortmann-Grote, Julia Dohle, Peter Zentis, Niraj Kandpal, Susanne Kunis, Thomas Zobel, Stefanie Weidtkamp-Peters, Elisa Ferrando-May

Published 2023-11-13

Licensed CC-BY-4.0

The open-source software OME Remote Objects (OMERO) is a data management software that allows storing, organizing, and annotating bioimaging/microscopy data. OMERO has become one of the best-known systems for bioimage data management in the bioimaging community. The Information Infrastructure for BioImage Data (I3D:bio) project facilitates the uptake of OMERO into research data management (RDM) practices at universities and research institutions in Germany. Since the adoption of OMERO into researchers’ daily routines requires intensive training, a broad portfolio of training resources for OMERO is an asset. On top of using the OMERO guides curated by the Open Microscopy Environment Consortium (OME) team, imaging core facility staff at institutions where OMERO is used often prepare additional material tailored to be applicable for their own OMERO instances. Based on experience gathered in the Research Data Management for Microscopy group (RDM4mic) in Germany, and in the use cases in the I3D:bio project, we created a set of reusable, adjustable, openly available slide decks to serve as the basis for tailored training lectures, video tutorials, and self-guided instruction manuals directed at beginners in using OMERO. The material is published as an open educational resource complementing the existing resources for OMERO contributed by the community.

Tags: OMERO, Research Data Management, Nfdi4Bioimage, I3Dbio

Content type: Slide, Video

https://zenodo.org/records/8323588

https://www.youtube.com/playlist?list=PL2k-L-zWPoR7SHjG1HhDIwLZj0MB_stlU

https://doi.org/10.5281/zenodo.8323588


Image Data Services at Euro-BioImaging: Community efforts towards FAIR Image Data and Analysis Services#

Aastha Mathur

Licensed UNKNOWN

Content type: Slide

https://docs.google.com/presentation/d/1henPIDTpHT3bc1Y26AltItAHJ2C5xCOl/edit#slide=id.p1


Image analysis in Galaxy#

Beatriz Serrano-Solano, Björn Grüning

Licensed UNKNOWN

Tags: Bioimage Analysis

Content type: Slide

https://docs.google.com/presentation/d/1WG_4307XmKsGfWT3taxMvX2rZiG1k0SM1E7SAENJQkI/edit#slide=id.p


ImageJ Macro Introduction#

Anna Klemm

Licensed UNKNOWN

Tags: Neubias, Imagej Macro, Bioimage Analysis

Content type: Slide, Code

ahklemm/ImageJMacro_Introduction


ImageJ2 API-beating#

Robert Haase

Licensed BSD-3-CLAUSE

Tags: Neubias, Imagej, Bioimage Analysis

Content type: Slide

https://git.mpi-cbg.de/rhaase/lecture_imagej2_dev


Introduction to ImageJ macro programming, Scientific Computing Facility, MPI CBG Dresden#

Robert Haase, Benoit Lombardot

Licensed UNKNOWN

Tags: Imagej, Bioimage Analysis

Content type: Slide

https://git.mpi-cbg.de/scicomp/bioimage_team/coursematerialimageanalysis/tree/master/ImageJMacro_24h_2017-01


Jupyter for interactive cloud computing#

Guillaume Witz

Licensed UNKNOWN

Tags: Neubias, Bioimage Analysis

Content type: Slide

https://docs.google.com/presentation/d/1q8q1xE-c35tvCsRXZay98s2UYWwXpp0cfCljBmMFpco/edit#slide=id.ga456d5535c_2_53


Lecture Applied Bioimage Analysis 2020#

Robert Haase

Slides, scripts, data and other exercise materials of the BioImage Analysis lecture at CMCB TU Dresden 2020

Tags: Imagej, Bioimage Analysis

Content type: Slide

https://git.mpi-cbg.de/rhaase/lecture_applied_bioimage_analysis


Machine Learning - Deep Learning. Applications to Bioimage Analysis#

Estibaliz Gómez-de-Mariscal

Licensed UNKNOWN

Tags: Artificial Intelligence, Bioimage Analysis

Content type: Slide

https://raw.githubusercontent.com/esgomezm/esgomezm.github.io/master/assets/pdf/SPAOM2018/MachineLearning_SPAOMworkshop_public.pdf


Machine and Deep Learning on the cloud: Segmentation#

Ignacio Arganda-Carreras

Licensed UNKNOWN

Tags: Neubias, Artificial Intelligence, Bioimage Analysis

Content type: Slide

https://docs.google.com/presentation/d/1oJoy9gHmUuSmUwCkPs_InJf_WZAzmLlUNvK1FUEB4PA/edit#slide=id.ge3a24e733b_0_54


Methods in bioimage analysis#

Christian Tischer

Licensed CC-BY-4.0

Tags: Bioimage Analysis

Content type: Online Tutorial, Video, Slide

https://www.ebi.ac.uk/training/events/methods-bioimage-analysis/

https://doi.org/10.6019/TOL.BioImageAnalysis22-w.2022.00001.1

https://drive.google.com/file/d/1MhuqfKhZcYu3bchWMqogIybKjamU5Msg/view


Multi-view fusion#

Robert Haase

Licensed BSD-3-CLAUSE

Lecture slides of a session on Multiview Fusion in Fiji

Tags: Neubias, Imagej, Bioimage Analysis

Content type: Slide

https://git.mpi-cbg.de/rhaase/lecture_multiview_registration


NEUBIAS Analyst School 2018#

Assaf Zaritsky, Csaba Molnar, Vasja Urbancic, Richard Butler, Anna Kreshuk, Vannary Meas-Yedid

Licensed UNKNOWN

Tags: Neubias, Bioimage Analysis

Content type: Slide, Code, Notebook

miura/NEUBIAS_AnalystSchool2018


NEUBIAS Bioimage Analyst Course 2017#

Curtis Rueden, Florian Levet, J.B. Sibarta, Alexandre Dafour, Daniel Sage, Sebastien Tosi, Michal Kozubek, Jean-Yves Tinevez, Kota Miura, et al.

Licensed UNKNOWN

Tags: Neubias, Bioimage Analysis

Content type: Slide, Tutorial

miura/NEUBIAS_Bioimage_Analyst_Course2017


NEUBIAS Bioimage Analyst School 2019#

Kota Miura, Chong Zhang, Jean-Yves Tinevez, Robert Haase, Julius Hossein, Pejamn Rasti, David Rousseau, Ignacio Arganda-Carreras, Siân Culley, et al.

Licensed UNKNOWN

Tags: Neubias, Bioimage Analysis

Content type: Slide, Code, Notebook

miura/NEUBIAS_AnalystSchool2019


NEUBIAS Bioimage Analyst School 2020#

Marion Louveaux, Stéphane Verger, Arianne Bercowsky Rama, Ignacio Arganda-Carreras, Estibaliz Gómez-de-Mariscal, Kota Miura, et al.

Licensed UNKNOWN

Tags: Neubias, Bioimage Analysis

Content type: Slide, Code, Notebook

miura/NEUBIAS_AnalystSchool2020


NFDI4BIOIMAGE - An Initiative for a National Research Data Infrastructure for Microscopy Data#

Christian Schmidt, Elisa Ferrando-May

Published 2021-04-29

Licensed CCY-BY-SA-4.0

Align existing and establish novel services & solutions for data management tasks throughout the bioimage data lifecycle.

Tags: Nfdi4Bioimage, Image Data Management, Bioimage Data, Research Data Management

Content type: Conference Abstract, Slide

https://doi.org/10.11588/heidok.00029489


Neubias Academy 2020: Introduction to Nuclei Segmentation with StarDist#

Martin Weigert, Olivier Burri, Siân Culley, Uwe Schmidt

Licensed UNKNOWN

Tags: Python, Neubias, Artificial Intelligence, Bioimage Analysis

Content type: Slide, Notebook

maweigert/neubias_academy_stardist


Nextflow: Scalable and reproducible scientific workflows#

Floden Evan, Di Tommaso Paolo

Published 2020-12-17

Licensed CC-BY-4.0

Nextflow is an open-source workflow management system that prioritizes portability and reproducibility. It enables users to develop and seamlessly scale genomics workflows locally, on HPC clusters, or in major cloud providers’ infrastructures. Developed since 2014 and backed by a fast-growing community, the Nextflow ecosystem is made up of users and developers across academia, government and industry. It counts over 1M downloads and over 10K users worldwide.

Tags: Workflow Engine

Content type: Slide

https://zenodo.org/records/4334697

https://doi.org/10.5281/zenodo.4334697


Parallelization and heterogeneous computing: from pure CPU to GPU-accelerated image processing#

Robert Haase

Licensed CC-BY-4.0

Content type: Slide

https://f1000research.com/slides/11-1171

https://doi.org/10.7490/f1000research.1119154.1


QuPath: Open source software for analysing (awkward) images#

Peter Bankhead

Published 2020-12-16

Licensed CC-BY-4.0

Slides from the CZI/EOSS online meeting in December 2020.

Tags: Bioimage Analysis

Content type: Slide

https://zenodo.org/records/4328911

https://doi.org/10.5281/zenodo.4328911


Research Data Management Seminar - Slides#

Della Chiesa, Stefano

Published 2022-05-18

Licensed CC-BY-4.0

This Research Data Management (RDM) Slides introduce to the multidisciplinary knowledge and competencies required to address policy compliance and research data management best practices throughout a project lifecycle, and beyond it.

Module 1 - Introduces the RDM giving its context in the Research Data Governance
Module 2 - Illustrates the most important RDM policies and principles
Module 3 - Provides the most relevant RDM knowledge bricks
Module 4 - Discuss the Data Management Plans (DMPs), examples, templates and guidance

 

Tags: Research Data Management

Content type: Slide

https://zenodo.org/record/6602101

https://doi.org/10.5281/zenodo.6602101


Sharing and licensing material#

Robert Haase

Licensed CC-BY-4.0

Introduction to sharing resources online and licensing

Tags: Sharing, Research Data Management

Content type: Slide

https://f1000research.com/slides/10-519


Thinking data management on different scales#

Susanne Kunis

Published 2023-08-31

Licensed CC-BY-4.0

Presentation given at PoL BioImage Analysis Symposium Dresden 2023

Tags: Research Data Management, Nfdi4Bioimage

Content type: Slide

https://zenodo.org/records/8329306

https://doi.org/10.5281/zenodo.8329306


Tracking Theory, TrackMate, and Mastodon#

Robert Haase

Licensed BSD-3-CLAUSE

Lecture slides of a session on Cell Tracking in Fiji

Tags: Neubias, Imagej, Bioimage Analysis

Content type: Slide

https://git.mpi-cbg.de/rhaase/lecture_tracking_trackmate


What is Bioimage Analysis? An Introduction#

Kota Miura

Licensed UNKNOWN

Tags: Neubias, Bioimage Analysis

Content type: Slide

https://www.dropbox.com/s/5abw3cvxrhpobg4/20220923_DefragmentationTS.pdf?dl=0


Working with objects in 2D and 3D#

Robert Haase

Licensed BSD-3-CLAUSE

Tags: Neubias, Imagej, Bioimage Analysis

Content type: Slide

https://git.mpi-cbg.de/rhaase/lecture_working_with_objects_in_2d_and_3d


Working with pixels#

Robert Haase

Licensed BSD-3-CLAUSE

Tags: Neubias, Imagej, Bioimage Analysis

Content type: Slide

https://git.mpi-cbg.de/rhaase/lecture_working_with_pixels


ZIDAS 2020 Introduction to Deep Learning#

Estibaliz Gómez-de-Mariscal

Licensed UNKNOWN

Tags: Artificial Intelligence, Bioimage Analysis

Content type: Slide

esgomezm/zidas2020_intro_DL


ilastik: interactive machine learning for (bio)image analysis#

Anna Kreshuk, Dominik Kutra

Licensed CC-BY-4.0

Tags: Artificial Intelligence, Bioimage Analysis

Content type: Slide

https://zenodo.org/doi/10.5281/zenodo.4330625