Multiscale imaging of plants: current approaches and challenges

Area of Science:

• Plant Science
• Imaging Technology
• Computational Biology

Background:

• Plants exhibit complex multiscale structures.
• Recent advancements in imaging produce high-resolution plant images.
• High-resolution images are valuable for plant science research.

Purpose of the Study:

• To review recent multiscale imaging techniques for plant science.
• To discuss the challenges of using high-resolution images in high-throughput phenotyping.
• To highlight the renewed importance of multiscale image processing tools.

Main Methods:

• Review of current multiscale imaging techniques.
• Analysis of data storage and computational costs associated with high-resolution images.
• Discussion of multiscale image processing tools like wavelets and fractals.

Main Results:

• Multiscale imaging techniques align well with plant structures.
• High-resolution image data presents significant storage and processing challenges.
• Existing and novel multiscale image processing methods are crucial for data analysis.

Conclusions:

• Multiscale imaging is promising for plant science but requires efficient processing.
• Overcoming data challenges is key to leveraging high-resolution images for phenotyping.
• Multiscale image processing tools are vital for extracting meaningful information from complex plant imagery.