How to analyse data in CODI?

How to analyse data in CODI?

First, for the moment CODI is only able to display super-resolution microscopy data, meaning images create from localisations of blinking event. For the visualisation or analysis of raw images, such as brightfield, widefield or tracking, please us NimOS or other software of your choice.   

Intro and keywords

It is possible to analyse data that you have uploaded, or data that someone lese uploaded and shared with you or data that are publicly available. 
CODI analysis work through  Apps  which are sets of tools put in a specific order and can be seen as workflow. Each App can be either specific to an application, a sample or a type of analysis.
Some tools can't be skip and that is why two apps can look very similar with only different tool. 

Each App also has   Settings , which are parameters used by the tools, such as filters. Every App has some default settings, but those can be modified during the analysis and then saved to be reused on another acquisition or through batch analysis. 

With the advantage of being online, it is possible for ONI to develop new tools and new apps and add them over time. 

Analysis 

Once you have selected the data to analyse, click on the analysis button on the left side. 


This will open the Apps tab where you can choose the appropriate type of analysis. 



As of February 2024, CODI has 3 Apps with the following default settings
  1. Clustering 
    1. Clustering essential
    2. dSTORM training kit - Those settings need to be used with the dSTORM training kit available on our online store. 
    3. Discovery kit: dSTORM clustering essential
  2. Clustering and counting 
    1. Counting essential
    2. Discovery kit: dSTORM clustering essential
  3. EV profiling 
    1. EV profiling essential - those settings should be use for EV data taken with our EV profiler kit, but can also be modified to accommodate other EV experiment 

Small FAQ: 

When should I use Clustering or Clustering and counting? 

After clustering, the counting tool will count the number of localisation for every channel in every cluster. This is helpful for an application where knowing if the clusters are single, double or triple positive and what is the ratio of each channel in the cluster. 

What is the difference between the Essential and Discovery kit essential? 

The discovery kit essentials have more specific and stricter filters. This is because our Discovery kit comes with labeled secondary antibody that we have characterise and known filters parameters. 

Where can i learn more about each tool? 

Please refer to specific tool page to know more about each of them 


    • Related Articles

    • CODI-FAQ

      What is CODI ? Our CODI cloud platform is a beta and is currently an analysis platform used for the analysis of data acquired by our Nanoimager and its local acquisition software (NimOS). CODI is... A collaborative platform to share your data and ...
    • How to guide: The CODI Desktop Uploader

      Tool view ​ Purpose of tool  The CODI Desktop Uploader is a tool created to ease the transition between NimOS and CODI. The main objective of the application is to facilitate the uploading of NimOS generated datasets to the CODI cloud platform. It ...
    • How-to-guide: How to share and organize your data

      Tool View Purpose of tool CODI is a Collaborative Discovery platform to share your data and analyses with colleagues and the public, opening up new possibilities for cross dataset insights. Using our tool Collaborations you will be able to organize, ...
    • How to guide: CODI Apps and Batch Analysis

      Welcome to CODI Apps and Batch Analysis CODI Apps and Batch Analysis is an enhanced version of the CODI platform that unlocks faster and more customized analysis pipelines. Each App contains a set of powerful analysis widgets that enable scientists ...
    • CODI license

      CODI, including it’s design, source code, analysis tools, and other associated material is protected under Copyright. Public datasets on CODI are published under the Creative Commons Attribution-ShareAlike 4.0 license.