Protocol for Producing Three-Dimensional Infrared Video of Freezing in Plants

David P. Livingston III; Tan D. Tuong; Mark Hoffman; Gina Fernandez

doi:10.3791/58025

Protocol for Producing Three-Dimensional Infrared Video of Freezing in Plants

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Protocol for Producing Three-Dimensional Infrared Video of Freezing in Plants

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07:30 min

September 12, 2018

DOI: 10.3791/58025-v

David P. Livingston III¹, Tan D. Tuong¹, Mark Hoffman², Gina Fernandez²

¹United States Department of Agriculture and North Carolina State University, ²Department of Horticulture Sciences,North Carolina State University

Overview

This article presents a protocol for imaging a strawberry plant freezing in three dimensions using infrared cameras. The technique allows for the visualization of ice nucleation and propagation, providing depth information that is not possible with standard two-dimensional video.

Key Study Components

Area of Science

Plant physiology
Thermal imaging
Infrared technology

Background

Ice nucleation is a critical process in plant freezing.
Infrared cameras can visualize heat events not visible to the human eye.
Depth perception is essential for understanding freezing dynamics.
The method can be adapted for various applications requiring depth visualization.

Purpose of Study

To develop a method for 3D imaging of freezing in plants.
To identify the precise location of ice formation.
To enhance understanding of freezing processes in biological systems.

Methods Used

Setup of two infrared cameras at specific angles.
Use of software for image processing.
Creation of a red-blue anaglyph video.
Application of fastening straps and a wooden block for camera stabilization.

Main Results

Successful visualization of the freezing process in 3D.
Identification of ice nucleation sites.
Demonstration of depth perception in thermal imaging.
Potential for application in other projects requiring depth visualization.

Conclusions

The protocol provides a novel approach to study freezing in plants.
Depth information enhances the understanding of ice dynamics.
Further exploration of this method could benefit various scientific fields.

Frequently Asked Questions

What is the main advantage of using infrared cameras?

Infrared cameras allow visualization of heat events, such as freezing, which are not visible to the naked eye.

Can this method be applied to other plants?

Yes, while demonstrated on strawberry plants, the technique can be adapted for other species.

What challenges might researchers face with this protocol?

The software used for image processing has a steep learning curve, which may pose a challenge for some users.

How does this method improve upon traditional imaging techniques?

It provides depth information, allowing for a more comprehensive understanding of the freezing process.

Is prior experience with infrared technology necessary?

Some familiarity with infrared technology may be beneficial, but the protocol is designed to be accessible.

What type of data can be obtained from this imaging technique?

The technique allows for the identification of ice nucleation locations and the dynamics of ice propagation in three dimensions.

Here, we present a protocol to image a strawberry plant freezing in 3 dimensions. Two infrared cameras positioned at slightly different angles are used to produce a red-blue anaglyph video to observe the freezing of the plant in 3 dimensions.

This method will allow you to identify the precise location of ice nucleation and propagation in three dimensions, which can be difficult with some infrared cameras. The advantage of this technique is that it provides depth information, which isn't possible with normal two-dimensional video. Because humans can't visualize infrared radiation, a camera which detects infrared and converts it into the visible spectrum is the only way to visualize heat generating events, such as freezing.

Even though we use this system to illustrate freezing in a strawberry plant, it could be used in any project where depth is important in a visual image. The protocol might be difficult for some because it involves using a software with a somewhat difficult learning curve. To begin, with fastening straps and a small block of wood, set up two infrared, or IR, cameras to produce the correct convergence angle of the lenses.

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