Fiber Separation

Accurately analyzing the length and number of fibers in a field of view can be challenging due to overlapping structures, which often make the process time-consuming and complex. Overlapping fibers can obscure important details, complicating segmentation and reducing the reliability of measurements.

The Image-Pro Fiber Separation protocol simplifies this task by breaking the workflow into manageable steps. It automatically separates overlapping fibers with precision, allowing users to extract accurate measurements such as fiber length, count, and orientation. Designed for efficiency, the protocol supports high-throughput analysis of large datasets, including complex formats like multi-well plates or multiple image folders, all with minimal image analysis expertise required.

Techniques: Brightfield

How it works

Select Channel

Select the channel that contains fibers.

Separate from Background

Separate fibers from the background using a deep learning model, machine learning, threshold segmentation, or a custom algorithm.

Identify Fibers

Automatically resolve overlaps and identify each individual fiber.

Quantitative results

Automatically generate tables, heat maps, charts and even complex bespoke reports.

Measurement parameters supported

Solution requirements

Required Modules

Base

2D Automated Analysis

Materials Protocol Collection