Transcript RaBa_presentation1

Racing Bacterial Cells in Microfluidic Gradients
in order to measure chemotactic efficiency of isogenic bacteria
population in correlation to their morphology
Racing Bacterial Cells in Microfluidic Gradients
in order to measure chemotactic efficiency of isogenic bacteria
population in correlation to their morphology
Why:
ength variation is observed in isogenic bacteria population
Racing Bacterial Cells in Microfluidic Gradients
in order to measure chemotactic efficiency of isogenic bacteria
population in correlation to their morphology
Why:
ength variation is observed in isogenic bacteria population
Does length variation have any functional role?
→ e.g. enhanced/diminshed motility?
Racing Bacterial Cells in Microfluidic Gradients
in order to measure chemotactic efficiency of isogenic bacteria
population in correlation to their morphology
Why:
ength variation is observed in isogenic bacteria population
Does length variation have any functional role?
→ e.g. enhanced/diminshed motility?
Aim: Physical model of how cell size and number of flagella relate to
swimming speeds and efficiency in chemotaxis
How:
Build microfluidics chamber using PDMS based soft-lithography
How:
Build microfluidics chamber using PDMS based soft-lithography
Create nutrition gradient in chamber to induce chemotaxis (adding sugar)
→ Quantitative measurement of gradient by adding dye in same conc.
→ Simulating gradient with physics modeling program
chemoattractant
bacteria
How:
Build microfluidics chamber using PDMS based soft-lithography
Create nutrition gradient in chamber to induce chemotaxis (adding sugar)
→ Quantitative measurement of gradient by adding dye in same conc.
→ Simulating gradient with physics modeling program
Recording bacterias with DIC timelapse microscopy
Identify single cells and measure their motion tracks (Matlab) as well as size
chemoattractant
bacteria
How:
Build microfluidics chamber using PDMS based soft-lithography
Create nutrition gradient in chamber to induce chemotaxis (adding sugar)
→ Quantitative measurement of gradient by adding dye in same conc.
→ Simulating gradient with physics modeling program
Recording bacterias with DIC timelapse microscopy
Identify single cells and measure their motion tracks (Matlab) as well as size
Build microfluidics chamber using PDMS based soft-lithography
Create nutrition gradient in chamber to induce chemotaxis (adding sugar)
→ Quantitative measurement of gradient by adding dye in same conc.
→ Simulating gradient with physics modeling program
Recording bacterias with DIC timelapse microscopy
Identify single cells and measure their motion tracks (Matlab) as well as size
~1.5 µm thickness
~ 3 µm spacing
Positions of tracked beads