FORMATION - TRAINING

13 progressive chapters

From Basic Counting to Advanced Methods · From basic counting to advanced methods

FUNDAMENTALS

Ch. 01

CHAPTER 01

Introduction to Stereology

  • Fundamental Principles
  • History of the Discipline
  • Biological Applications
⏱
~14 min

CHAPTER 02

Random Sampling

  • Randomness is Required
  • Uniform Randomness (UR)
  • Efficiency of SUR
  • Sampling Estimation
    Isotropy
⏱
~14 min

CHAPTER 03

Cavalieri's Method

  • The Fundamental Principle
  • The SUR Sampling Protocol
  • Measurement Tools
  • Statistical Validation
⏱
~14 min

CHAPTER 04

Volume fraction Vv

  • Definition and Fundamental Principle (FP​)
  • Estimation of Absolute Volume
  • Efficacy and Combined Grids
  • Correction of Ratio Bias
  • The Overprojection Trap (Holmes Effect)
⏱
~16 min

Quantitatif

CHAPTER 05

Estimation du nombre

  • The Abercrombie Bias Problem
  • The Disector Principle
  • Unbiased Counting
  • The Physical and Optical Disector.
  • The Fractionator Method
⏱
~18 min

CHAPTER 06

Total Surface

  • Surface Density (SV​)
  • Unbiased Estimator
  • Isotropic Linear Probes
  • IUR or Vertical Sections
  • Cycloid Probes
⏱
~14 min

CHAPTER 07

Estimated Length

  • Definition of Length Density (Lv)
  • The Fundamental Relationship Lv = 2 × QA
  • Isotropy (IUR Sections)
  • The Orientator Method
  • The Isector Method
⏱
~14 min

CHAPTER 08

Layer Analysis

  • Layered (or laminar) structures
  • Vertical sections (VUR)
  • Stereological ratios
  • Average height and thickness
  • Projected surface area unit
  • )
⏱
~16 min

CHAPTER 09

Particle Size Distribution

  • Weighting
  • Selector
  • Stereological matrix
  • PSI (Point-Sampled Intercept)
  • Distribution
⏱
~12 min

Avancé

CHAPTER 10

Statistics for Stereology

  • Precision, Accuracy, and Bias
  • Error Coefficient (EC)
  • Matheron's Formula
  • Two-Step Estimation
  • Biological Variation
⏱
~12 min

CHAPTER 11

Single–Object Stereology

  • Unique Object
  • Cavalieri
  • IUR Sections
  • Neural Morphology
  • Spatial Grid
⏱
~14 min

CHAPTER 12

Petri–metrics

  • Petri metrics
  • 2D splitter
  • Neurite length
  • Merz grid
  • Cell cultures
⏱
~13 min

CHAPTER 13

One-Stop Stereology

  • Second-order stereology
  • Spatial correlation
  • Covariance
  • Linear dipoles
  • Simultaneously estimating all stereological parameters
⏱
~16 min