Helpers:
Erick Ratamero, Eric Perlman, Sue McClatchy
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General Information
This workshop covers the basics of image analysis using scikit-image (skimage), a popular image analysis toolkit written in Python. This workshop is geared toward those with low-to-moderate programming experience, but beginners should be able to follow along with the provided tutorial code. This material will cover image file IO, basic processing such as rescaling and filtering, and basic image segmentation. There are 3 weekly sessions to this course, so plan to attend all 3 sessions.
This course is intended for Jackson Laboratory researchers only. For IT security reasons, external participants will not be admitted.
Where: This training will take place online.
The instructors will provide you with the information you will need to connect to this meeting.
Requirements:
Participants must have access to a computer with a
Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.).
They should have a few specific software packages installed (listed below).
Accessibility:
We are dedicated to providing a positive and accessible learning environment for all. Please
notify the instructors in advance of the workshop if you require any accommodations or if there is
anything we can do to make this workshop more accessible to you.
Like other Carpentries workshops,
you will be learning by "coding along" with the Instructors.
To do this, you will need to have both the window for the tool
you will be learning about (a terminal, RStudio, your web browser, etc..)
and the window for the Zoom video conference client open.
In order to see both at once,
we recommend using one of the following set up options:
Two monitors: If you have two monitors,
plan to have the tool you are learing up on one monitor and
the video conferencing software on the other.
Two devices: If you don't have two monitors,
do you have another device (tablet, smartphone) with a medium to large
sized screen? If so, try using the smaller device as your video
conference connection and your larger device (laptop or desktop)
to follow along with the tool you will be learning about.
Divide your screen: If you only have one device
and one screen, practice having two windows
(the video conference program and one of the tools you will be using
at the workshop) open together.
How can you best fit both on your screen?
Will it work better for you to toggle between them
using a keyboard shortcut?
Try it out in advance to decide what will work best for you.
This blog post includes detailed information on how to set up your screen to follow along during the workshop.
Python
Python is a popular language for
research computing, and great for general-purpose programming as
well. Installing all of its research packages individually can be
a bit difficult, so we recommend
Anaconda,
an all-in-one installer.
Regardless of how you choose to install it,
please make sure you install Python version 3.x
(e.g., 3.6 is fine).
We will teach Python using the Jupyter Notebook,
a programming environment that runs in a web browser (Jupyter Notebook will be installed by Anaconda). For this to work you will need a reasonably
up-to-date browser. The current versions of the Chrome, Safari and
Firefox browsers are all
supported
(some older browsers, including Internet Explorer version 9
and below, are not).
Download the Anaconda for Windows installer with Python 3. (If you are not sure which version to choose, you probably want the 64-bit Graphical Installer Anaconda3-...-Windows-x86_64.exe)
Install Python 3 by running the Anaconda Installer, using all of the defaults for installation except make sure to check Add Anaconda to my PATH environment variable.
Download the Anaconda Installer with Python 3 for Linux.
(The installation requires using the shell. If you aren't
comfortable doing the installation yourself
stop here and request help at the workshop.)
Open a terminal window and navigate to the directory where
the executable is downloaded (e.g., `cd ~/Downloads`).
Type
bash Anaconda3-
and then press
Tab to autocomplete the full file name. The name of
file you just downloaded should appear.
Press Enter
(or Return depending on your keyboard).
You will follow the text-only prompts.
To move through the text, press Spacebar.
Type yes and press enter to approve the license.
Press Enter (or Return)
to approve the default location
for the files.
Type yes and press
Enter (or Return)
to prepend Anaconda to your PATH
(this makes the Anaconda distribution the default Python).