Studying Fungal Chemotaxis and Morphogenesis in Lab-on-a-chip
This position is offered as an Independent Study. To be considered, please apply well in advance— before the drop/add deadline
Fungi are critical to global carbon and nutrient cycling, soil carbon sequestration, agricultural soil health, contaminant degradation, biofouling of engineered materials, and human health. Despite their broad ecological and industrial significance, our understanding of fungal chemotaxis and morphogenesis in response to local chemical and physical cues remains limited.
This study aims to characterize the three-dimensional morphology and growth dynamics of fungal mycelia in response to chemical gradients using a controlled microfluidic chip platform. Fungal spore germination and hyphal extension will be monitored via confocal laser scanning microscopy (CLSM). The student will analyze (and optionally acquire) time-lapse image data (ND2 & VTK format), using MATLAB to quantify hyphal growth rate, directionality, and branching patterns—shedding light on fungal gradient sensing and adaptive growth behavior in porous environments.
The findings will advance our understanding of fungal-environment interactions, with implications for soil biogeochemistry, bioremediation, antifouling strategies in engineered systems, and fungal pathogenesis.
This research project provides students with hands-on experience in cutting-edge techniques, including micro/nano fabrication, confocal laser scanning microscopy, and image processing. It offers a highly interdisciplinary approach, combining microbiology, fluid mechanics, materials science, and chemistry. The powerful visualization capabilities of the microfluidics system allow us to capture direct evidence of microbe-induced phenomena that were previously unobservable with the naked eye.
The tools and techniques you’ll learn from this project have broad applications across various fields, including medical, engineering, agricultural, and environmental sectors. Additionally, the lab-on-a-chip platform and visual data generated from experiments can be used as teaching materials or outreach tools to educate K-12 students and engage with the public.