Optimal sampling


In order to resolve a specific structure we need enough spatial resolution and we need to record sufficient spatial information. The Nyquist-Shannon sampling theorem, often referred to Nyquist sampling, gives a simple mathematical relationship between the resolution and image sampling (i.e. pixel size). This is a useful guideline to balance acquisition speed, bleaching, and resolving power.


Prerequisites

Before starting this lesson, you should be familiar with:

Learning Objectives

After completing this lesson, learners should be able to:
  • Be able to compute the optimal pixel size according to Nyquist given a resolution limit

  • Decide which pixel size is required to visualize a structure of a specific size

Concept map

graph TD T1("TODO1") --> T2("TODO2") T2 --> T3("TODO3")

Figure


TODO



Activities

Activity title


Show activity for:  

ImageJ GUI

skimage napari







Assessment

Fill in the blanks

  1. If the pixel size is larger than half the width of the PSF, the image is _____-sampled and fine spatial detail is _____.

Solution

  1. under; lost




Follow-up material

Recommended follow-up modules:

Learn more: