Palm Imaging

Palm imaging is the use of photographic, optical, or sensor-based methods to record the structure, appearance, and condition of palm plants, supporting biological study and monitoring. Imaging systems capture reflected light from leaves, trunks, and crowns, while image analysis measures features such as shape, color, growth, and visible damage. These observations help researchers identify species, assess development, detect stress or disease, and document responses to environmental conditions. In biology, palm imaging can complement field measurements by providing repeatable, non-destructive records for plant physiology, ecology, conservation, and agricultural management.

Palm Imaging - Related Videos

Research

JoVE Journal - Bioengineering

Photoactivated Localization Microscopy with Bimolecular Fluorescence Complementation (BiFC-PALM)

0 Views •

Cited by 14 •

2015

Protein-protein interactions are visualized in cells with nanometer spatial resolution by combining bimolecular fluorescence complementation (BiFC) with photoactivated localization microscopy (PALM). Described here is the use of BiFC-PALM for imaging Ras-Raf interactions in U2OS cells for visualizing the nanoscale clustering and diffusion of individual Ras-Raf complexes.

Preparation of Hard Palm Seeds for Matrix-Assisted Laser Desorption/Ionization-Imaging Mass Spectrometry Analysis

0 Views •

Cited by 1 •

2023

This protocol aimed to describe detailed guidance on the preparation of hard seed sample sections with low water content for MALDI-IMS analysis, maintaining analytes' original distribution and abundance and providing high-quality signal and spatial resolution.

Super-resolution Imaging of Neuronal Dense-core Vesicles

0 Views •

Cited by 3 •

2014

We describe how to implement photoactivated localization microscopy (PALM)-based studies of vesicles in fixed, cultured neurons. Key components of our protocol include labeling vesicles with photoconvertible chimeras, collecting sparsely sampled raw images with a super-resolution microscopy system, and processing the raw images to produce a super-resolution image.

Super-resolution Imaging of the Bacterial Division Machinery

0 Views •

Cited by 17 •

2013

We describe a super-resolution imaging method to probe the structural organization of the bacterial FtsZ-ring, an essential apparatus for cell division. This method is based on quantitative analyses of photoactivated localization microscopy (PALM) images and can be applied to other bacterial cytoskeletal proteins.

Research

JoVE Journal - Bioengineering
Free Sample

Hybrid µCT-FMT imaging and image analysis

0 Views •

Cited by 34 •

2015

We describe a protocol for hybrid imaging, combining fluorescence-mediated tomography (FMT) with micro computed tomography (µCT). After fusion and reconstruction, we perform interactive organ segmentation to extract quantitative measurements of the fluorescence distribution.

View All Results

FAQs

Related Topics