phenotypic 0.14.0b4

An image processing framework created for Ex-FAB NSF BioFoundry that aims to streamline the development of image processing pipelines for images analysis of phenotypes.

PhenoTypic: A Python Framework for Bio-Image Analysis

A modular image processing framework developed at the NSF Ex-FAB BioFoundry, focused on arrayed colony phenotyping on solid media.

---

Links:

Overview

PhenoTypic provides a modular toolkit designed to simplify and accelerate the development of reusable bio-image analysis pipelines. PhenoTypic provides bio-image analysis tools built-in, but has a streamlined development method to integrate new tools.

Installation

uv (recommended)

See more on installing uv

Regular Install (recommended when deploying on a cluster)

uv pip install phenotypic

Interactive / GUI Install (napari viewer, Panel dashboards, Jupyter)

uv pip install "phenotypic[gui]"

Pip

Regular Install

pip install phenotypic

Interactive / GUI Install

pip install "phenotypic[gui]"

Note: may not always be the latest version. Install from repo when latest update is needed

Manual Installation (For latest updates)

git clone https://github.com/exfab/PhenoTypic.git
cd PhenoTypic
uv sync

Dev Installation

For extending PhenoTypic.

git clone https://github.com/exfab/PhenoTypic.git
cd PhenoTypic
uv sync --group dev

GPU-Accelerated Detection (SAM2, micro-sam)

PhenoTypic ships optional deep-learning detectors backed by Meta's Segment Anything Model 2 and micro-sam.

• SAM2 is available on PyPI and ships in the torch extra:

  uv pip install "phenotypic[torch]"   # Linux/macOS only
  

• micro-sam is only published on conda-forge (not PyPI), so it is not bundled with any phenotypic extra. If you need MicroSamDetector, see the "Enabling micro_sam" section of the GPU Detection Setup guide for a user-side pixi.toml that installs phenotypic and micro_sam together in a single environment. MicroSamDetector remains importable without micro_sam installed; the ImportError is deferred to the first apply() call.

See GPU Detection Setup for model downloads and SLURM deployment instructions.

Optional Installation

To extract metadata from raw images, PhenoTypic uses the PyExifTool module. This requires an external software called ExifTool. You can install ExifTool here: https://exiftool.org/install.html. If you don't use it, some metadata from raw files may not be able to be imported. Read more here: https://pypi.org/project/PyExifTool/#pyexiftool-dependencies

Module Overview

Module	Description
phenotypic.analysis	Tools for downstream analysis of the data from phenotypic in various ways such as growth modeling or statistical filtering
phenotypic.correction	Different methods to improve the data quality of an image such as rotation to improve grid finding
phenotypic.data	Sample images to experiment your workflow with
phenotypic.detect	A suite of operations to automatically detect objects in your images
phenotypic.enhance	Preprocessing tools that alter a copy of your image and can improve the results of the detection algorithms
phenotypic.grid	Modules that rely on grid and object information to function
phenotypic.measure	The various measurements PhenoTypic is capable of extracting from objects
phenotypic.nn	GPU-accelerated detectors (SAM2, micro-sam) with checkpoint management — see setup guide
phenotypic.refine	Different tools to edit the detected objects such as morphology, relabeling, joining, or removing
phenotypic.prefab	Various premade image processing pipelines that are in use at ExFAB

Sponsors