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SUMMARY:Quantitative Microbiology With Smart Microscopy -  Georgeos Hardo\
 , University of Cambridge
DTSTART:20231019T131500Z
DTEND:20231019T141500Z
UID:TALK207478@talks.cam.ac.uk
CONTACT:Fulvio Forni
DESCRIPTION:Bacteria\, and microbes in general\, are valuable tools in syn
 thetic and systems biology research. Their genetic flexibility\, quick rep
 lication\, and metabolic engineering capabilities make them crucial for sc
 ientific exploration. In the realm of microbial systems analysis\, microsc
 opy techniques have proven instrumental\, as they facilitate real-time mon
 itoring of live microbial cells\, providing essential insights into these 
 dynamic systems.  \n\nQuantitative microbiology using microscopy holds tra
 nsformative potential for synthetic and systems biology\, yet poses signif
 icant challenges in data acquisition and processing. This seminar will exp
 lore the advancements made by the Smart Microscopy Lab in the Department o
 f Engineering in overcoming these challenges through an interdisciplinary 
 approach integrating microfluidics\, machine learning\, and advanced imagi
 ng techniques.\n\nWe will introduce the utility of the mother machine micr
 ofluidic system for capturing high-fidelity\, high throughput\, temporal d
 ata and discuss the limitations of traditional methods. We delve into the 
 issues that arise in quantitative analyses due to diffraction-limited micr
 oscopy\, and make the case for machine learning-based solutions. At the he
 art of the new methods being developed is SyMBac—Synthetic Micrographs o
 f Bacteria—a novel tool that leverages synthetic training data for highl
 y precise segmentation of experimental micrographs. Future directions such
  as adaptive and dynamic segmentation strategies using pseudo labels and t
 imelapse synthetic data are highlighted. Finally\, the seminar will elabor
 ate on the broader capabilities of smart microscopy\, including its role i
 n uncovering and mitigating imaging artefacts\, benchmarking new analytica
 l models\, and super-resolving data in both spatial and temporal dimension
 s.\n\nThe seminar will be held in the JDB Seminar Room\, Department of Eng
 ineering\, and online (zoom): https://newnham.zoom.us/j/92544958528?pwd=YS
 9PcGRnbXBOcStBdStNb3E0SHN1UT09
LOCATION:Department of Engineering / Online (Zoom)
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