Microfuidic Devices and Open Access Tool for Localized Microinjection and Heart Monitoring of Drosophila Melanogaster

This thesis aims to address the current research gaps associated with the use of Drosophila larvae as an in-vivo model for cardiac toxicity and cardiac gene screening. In objective 1, we have developed a hybrid multi-tasking microfluidic platform that enables desired orientation, reversible immobilization, and localized microinjection of intact Drosophila larvae for recording heart activities upon injection of controlled dosages of different chemicals. In objective 2. we have developed software for in-vivo quantification of essential heartbeat parameters on intact Drosophila larvae. Several image segmentation and signal processing algorithms were developed to detect the heart, extract the heartbeat signal, and quantify heart rate and arrhythmicity index automatically, while other heartbeat parameters were quantified semi-automatically using the M-mode. In objective 3a, we demonstrated the application of our microfluidic device and heartbeat quantification software for investigating the effect of different chemicals (e.g., serotonin and heavy metals) on Drosophila larval heart function. Also, we applied our technology to genetically modified Drosophila larvae to investigate the effect of metal responsive transcription factor (MTF-1) against heavy metals cardiac toxicity (objective 3b)

Microfuidic Devices and Open Access Tool for Localized Microinjection and Heart Monitoring of Drosophila Melanogaster

This thesis aims to address the current research gaps associated with the use of Drosophila larvae as an in-vivo model for cardiac toxicity and cardiac gene screening. In objective 1, we have developed a hybrid multi-tasking microfluidic platform that enables desired orientation, reversible immobilization, and localized microinjection of intact Drosophila larvae for recording heart activities upon injection of controlled dosages of different chemicals. In objective 2. we have developed software for in-vivo quantification of essential heartbeat parameters on intact Drosophila larvae. Several image segmentation and signal processing algorithms were developed to detect the heart, extract the heartbeat signal, and quantify heart rate and arrhythmicity index automatically, while other heartbeat parameters were quantified semi-automatically using the M-mode. In objective 3a, we demonstrated the application of our microfluidic device and heartbeat quantification software for investigating the effect of different chemicals (e.g., serotonin and heavy metals) on Drosophila larval heart function. Also, we applied our technology to genetically modified Drosophila larvae to investigate the effect of metal responsive transcription factor (MTF-1) against heavy metals cardiac toxicity (objective 3b)

An automated assay for the assessment of cardiac arrest in fish embryo

International audienceStudies on fish embryo models are widely developed in research. They are used in several research field such as drug discovery or environmental toxicology. In this article, we propose an entirely automated assay to detect cardiac arrest in Medaka (Oryzias latipes) based on image analysis. We propose a multi-scale pipeline based on mathematical morphology. Starting from video sequences of entire wells in 24-well plates, we focus on the embryo, detect its heart, and ascertain whether or not the heart is beating based on intensity variation analysis. Our image analysis pipeline only uses commonly available operators. It has a low computational cost, allowing analysis at the same rate as acquisition. From an initial dataset of 3,192 videos, 660 were discarded as unusable (20.7%), 655 of them correctly so (99.25%) and only 5 incorrectly so (0.75%). The 2,532 remaining videos were used for our test. On these, 45 errors were made, leading to a success rate of 98.23%