DigitalSreeni Courses

Edge Filters for Image Processing

1 rating

Explore Roberts, Sobel, Prewitt, Farid, and Canny edge filters, their convolution-based principles, and threshold tuning in Python.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Introduction to Image Processing Using Scikit-Image in Python

1 rating

Use Python's scikit-image library to resize, filter, deconvolve, and threshold microscopy images for scratch-assay analysis.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

De-arraying Tissue Microarrays (TMA) Using QuPath and Python Code

Extract high-resolution images of individual cores from Tissue Microarrays using QuPath for detection and custom Python code for saving, streamlining TMA analysis workflows.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Annotate Images Like a Pro: Python Image Annotation Tool Walkthrough

Master image annotation with a Python-based tool. Learn installation, project creation, manual and semi-automatic annotation techniques, class organization, and exporting to various formats. Explore additional features for data management and augmentatio…

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Annotate Images Like a Pro - Python Image Annotation Tool Demo

Master Python-based image annotation with a comprehensive tool for 2D and multi-dimensional images. Learn manual and semi-automatic techniques, export options, and additional features for efficient image analysis and model training.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Color Separation and Nuclei Segmentation in Tissue Microarray Cores - Tutorial 344

Extract and analyze TMA core images: color separation, nuclei segmentation with StarDist, and intensity calculation for nuclear and cytosolic regions.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

3D Sholl Analysis Using Python for Neuron Branch Mapping

Learn to perform 3D Sholl analysis in Python by creating concentric spherical shells around soma centers and calculating neuron branch intersections for detailed morphological analysis.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Statistical Analysis in Python - Comparing Two Groups with Non-Parametric Tests - Tutorial 5

Master non-parametric statistical tests in Python for comparing two groups when data doesn't meet normality assumptions, including Mann-Whitney U and Wilcoxon tests.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Understanding AWS S3 Vectors for AI and Science

Discover AWS S3 Vectors for AI and scientific workflows, comparing them to FAISS with Python examples for semantic search on microscopy image descriptions.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Descriptive Statistics and Data Visualization for Breast Cancer Data Analysis

Dive into descriptive statistics using breast cancer data to master central tendency, dispersion measures, advanced visualizations, and outlier detection techniques.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Comparing Two Groups - Statistical Analysis in Python Tutorial 4

Master statistical hypothesis testing by comparing two groups using parametric tests like t-tests and chi-square, with Python code examples on real heart disease data.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Time Series Statistical Comparison - When Data Points Aren't Independent

Discover advanced statistical methods for comparing time series data when traditional tests fail due to temporal autocorrelation and dependent observations.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Demystifying Classes in Python

Discover why Python classes exist and how they organize code better than functions and dictionaries, covering basics like __init__, self, and methods for cleaner programming.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Principal Component Analysis (PCA) - Mastering Dimensionality Reduction and Visualization

Master PCA for dimensionality reduction with complete Python implementation, from mathematical foundations to 3D visualization using breast cancer classification case study.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Building a Learning Path Recommender - Manual Construction of Knowledge Graphs in Python

Dive into manual construction of knowledge graphs in Python to build a learning path recommender for educational content, covering topic definition, relationship weighting, and visualization techniques.

• YouTube
• 35 minutes
• Self-Paced
• Free Video