Abstract
This paper presents an automated method for effective quantitative measurement of cells in different Arabidopsis root tips. The plant reaction to the nitric oxide needs to be measured, therefore the root cell proliferation has to be calculated. Cross section images of these root tips are the input of the application implemented. It consists of a two parts methods which are presented here: 1) A combination of several image processing algorithms is proposed in order to overcome images defects (burry, overlapping) and correctly detect the cell distribution. 2) Using the information from the processed images, a three-dimensional tracking process over all frames is accomplished in order to calculate the total number of cells in each root tip. Practical simulations and experimental results are presented to show the performance and efficiency of this method for cell tracking. Ill. 6, bibl. 5 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.112.6.455
Highlights
Arabidopsis thaliana are short flowering plants related to cabbage and mustard
The importance of this plant has become more significant since it was the first plant genome to be sequenced
In order to measure the effect of this monoxide, the number of cells in the apical root tip of these plants needs to be obtained
Summary
Arabidopsis thaliana are short flowering plants related to cabbage and mustard. The importance of this plant has become more significant since it was the first plant genome to be sequenced. The plant reaction to the nitric oxide (NO) exposure needs to be measured. It is currently unknown how the NO controls the root cell proliferation [1]. In order to measure the effect of this monoxide, the number of cells in the apical root tip of these plants needs to be obtained.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
