PuBliCiTy

PuBliCiTy provides a Python-based library for biological image analysis, supporting deep learning and large-image processing for quantitative bioimage computing.


Key Features:

  • Deep Learning Models: Includes TensorFlow and PyTorch models for bioimage computing.
  • Python Implementation: Comprises functions, scripts, and classes written primarily in Python for image analysis.
  • Large-image and Routine-analysis Tools: Provides specialized functions for large image analysis and common bioimage tasks.
  • Data Science Library Integration: Leverages NumPy, SciPy, scikit-image, scikit-learn, and pandas for image handling and analysis.

Scientific Applications:

  • Bioimage Computing: Supports complex image processing and analysis in biological research.

Methodology:

Implemented as Python functions, scripts, and classes; uses TensorFlow and PyTorch models; leverages NumPy, SciPy, scikit-image, scikit-learn, and pandas.

Topics

Details

License:
MIT
Tool Type:
library
Programming Languages:
Python
Added:
11/29/2021
Last Updated:
11/29/2021

Operations

Publications

Cicconet M. PuBliCiTy: Python Bioimage Computing Toolkit. Unknown Journal. 2021. doi:10.1101/2021.03.01.432926.

Links