AIMC Topic: Pollen Tube
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Semi-automated high content analysis of pollen performance using tubetracker.
Plant reproduction
Jun 16, 2025
TubeTracker provides a method to partially automate analysis of pollen tube growth using live imaging. Pollen function is critical for successful plant reproduction and crop productivity and it is important to develop accessible methods to quantitati...
Modelling of pome fruit pollen performance using machine learning.
Scientific reports
Feb 26, 2025
Agriculture, particularly fruit production, is considered a crucial industry with a significant economic impact in many countries. Extreme fluctuations in air temperature can negatively affect the flowering periods of fruit species. Therefore, it is ...
Deep learning-based high-throughput detection of in vitro germination to assess pollen viability from microscopic images.
Journal of experimental botany
Nov 21, 2023
In vitro pollen germination is considered the most efficient method to assess pollen viability. The pollen germination frequency and pollen tube length, which are key indicators of pollen viability, should be accurately measured during in vitro cultu...
Quantification of Mechanical Forces and Physiological Processes Involved in Pollen Tube Growth Using Microfluidics and Microrobotics.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2020
Pollen tubes face many obstacles on their way to the ovule. They have to decide whether to navigate around cells or penetrate the cell wall and grow through it or even within it. Besides chemical sensing, which directs the pollen tubes on their path ...
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