2024
DOI: 10.1101/2024.11.21.624782
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Semi-Automated High Content Analysis of Pollen Performance Using TubeTracker

Sorel V. Yimga Ouonkap,
Yahir Oseguera,
Bryce Okihiro
et al.

Abstract: Pollen function is critical for successful plant reproduction and crop productivity and it is important to develop accessible methods to quantitatively analyze pollen performance to enhance reproductive resilience. Here we introduce TubeTracker as a method to quantify key parameters of pollen performance such as, time to pollen grain germination, pollen tube tip velocity and pollen tube survival. TubeTracker integrates manual and automatic image processing routines and the graphical user interface allows the u… Show more

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