Data Analysis and Basic Quantification

Data Analysis and Basic Quantification

Proper data analysis and quantification are essential when drawing meaningful conclusions from your data. Improving in these areas will have a significant impact on your research.

About this course

Proper data analysis and quantification are essential when drawing meaningful conclusions from your data. In this course, you will learn about the power of detection chemistry and how data acquisition plays a large role in data analysis. You will also learn about background subtraction methods and how to choose this for your experiment. Finally, this course will go through the steps to quantify your image and talk through how to export and present your data. 

Course Release Date: April 4, 2018

Curriculum54 min

  • Data Analysis Disclaimers 2 min
  • Data Acquisition
  • Detection Chemistry 2 min
  • Basic Definition: Pixels 2 min
  • Basic Definition: Image Resolution 2 min
  • Choosing the Right Detector 2 min
  • Resolution or Sensitivity? 2 min
  • Documenting Data Acquisition 2 min
  • How to Handle Acquired Data 2 min
  • Image Analysis
  • Image Adjustments 3 min
  • Background Subtraction 4 min
  • Image Quantification
  • Considerations for Image Quantification 1 min
  • Step 1: Normalization 3 min
  • Step 2: Normalized Signal 2 min
  • Step 3: Fold Change 3 min
  • Step 4: Coefficient of Variance 3 min
  • Exporting, Presenting, and Archiving Your Data 2 min
  • Image Quantification Example
  • Selecting Your Local Background Subtraction Method 9 min
  • Defining Regions of Interest 4 min
  • Image Adjustments and Data Reporting 4 min
  • Return to the Homepage

About this course

Proper data analysis and quantification are essential when drawing meaningful conclusions from your data. In this course, you will learn about the power of detection chemistry and how data acquisition plays a large role in data analysis. You will also learn about background subtraction methods and how to choose this for your experiment. Finally, this course will go through the steps to quantify your image and talk through how to export and present your data. 

Course Release Date: April 4, 2018

Curriculum54 min

  • Data Analysis Disclaimers 2 min
  • Data Acquisition
  • Detection Chemistry 2 min
  • Basic Definition: Pixels 2 min
  • Basic Definition: Image Resolution 2 min
  • Choosing the Right Detector 2 min
  • Resolution or Sensitivity? 2 min
  • Documenting Data Acquisition 2 min
  • How to Handle Acquired Data 2 min
  • Image Analysis
  • Image Adjustments 3 min
  • Background Subtraction 4 min
  • Image Quantification
  • Considerations for Image Quantification 1 min
  • Step 1: Normalization 3 min
  • Step 2: Normalized Signal 2 min
  • Step 3: Fold Change 3 min
  • Step 4: Coefficient of Variance 3 min
  • Exporting, Presenting, and Archiving Your Data 2 min
  • Image Quantification Example
  • Selecting Your Local Background Subtraction Method 9 min
  • Defining Regions of Interest 4 min
  • Image Adjustments and Data Reporting 4 min
  • Return to the Homepage