Intro to CellProfiler
Barbara Diaz-Rohrer, Broad Institute of Harvard and MIT; Rebecca Senft, Broad Institute of Harvard and MIT; Callum Tromans-Coia, Broad Institute of Harvard and MIT; Mario Costa Cruz, Broad Institute of Harvard and MIT; Beth Cimini, Broad Institute of Harvard and MIT I2K 2022 | Workshops #2 (post-sessions) | May 6th In this tutorial, we will go over the basics of creating a CellProfiler pipeline from start to finish and give an overview of CellProfiler capabilities. The workshop is an introduction to CellProfiler and targeted to beginners with very little or no experience with the software. Pre-Workshop Instructions: Please install CellProfiler (https://cellprofiler.org/releases) to your computer prior to the workshop start. Please also download the workshop materials (images and exercise PDF, available at this link: http://broad.io/I2K_BeginnerSegmentation) before the start of the workshop. Keywords: CellProfiler, beginners

Understanding and Measuring Colocalization in Fiji and CellProfiler

How to share reproducible and easy to set up Python bioimage analysis pipelines using Pixi

Convpaint - Semantic segmentation using pretrained AI models

Data, Clearly: Visualization and Management with Allen Tools

Getting Started using Large Language Models with ImageJ

Manual image registration with BigWarp

Notebooks and Napari Plugins for Deep Learning Segmentation

The value of annotated data with OMERO

Appose: Bridging Fiji/ImageJ and Python for Next-Generation Image Analysis

Colocalization by Cross-Correlation: Moving past pixel-wise methods

Bilayers for Bioimage Analysts - how can containers make your image analysis life easier?

napari-phasors: An Interactive Plugin for FLIM and Hyperspectral Image Analysis

Image Analysis Ask Us Anything - A special LIVE Ask Erin/Dear Beth event!

Piximi: Installation-free Segmentation and Calssification in the Browser

Reconstructing large volumetric microscopy for analysis, visualization and 3D printing with Paintera

Enrich Your Python Workflow with the Imaging Server Kit

VNC-Dist: Towards a Fully Automated Machine Learning-based Pipeline for Analyzing Neuronal Position

Practical Considerations for Using InstanSeg v Cellpose in QuPath for Multiplex Immunofluorescence

