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STC for Quantitative Cell Biology Seminar: Carolyn Larabell

Event Type
Lecture
Sponsor
STC for Quantitative Cell Biology Seminar Series
Location
Beckman Institute Room 3269 (3rd floor tower room)
Virtual
wifi event
Date
Apr 4, 2025   2:00 pm  
Speaker
Carolyn Larabell, University of California San Francisco and Lawrence Berkeley National Laboratory
Contact
Lisa Johnson
E-Mail
lisa3@illinois.edu
Originating Calendar
Beckman Institute Calendar (internal events only)

Carolyn Larabell, University of California San Francisco and Lawrence Berkeley National Laboratory, will lecture on "Quantitative 3D Imaging of Whole Cells Using Soft X-ray Tomography"

Abstract: Soft x-ray tomography (SXT) visualizes and quantifies the structural organization ofbiological organisms up to 20 um diameter. Specimens are imaged in the near-nativestate - rapidly frozen in their normal growth conditions - at a resolution up to 35 nm.Large numbers of cells can be imaged since it takes only 5-10 min to go from the frozenspecimen to a reconstructed tomogram. Imaging is based primarily on the absorption ofCarbon, a common element of all known life. At the same time, water (ice) is virtuallyinvisible so that high-contrast images are obtained based solely on the inherentproperties of the structures examined. This is accomplished by imaging with x-rayphotons in the 'water window' (between 284 – 543eV), where x-ray photons areabsorbed an order of magnitude more strongly by carbon- and nitrogen-containingorganic material than by water. The absorption of soft x-rays adheres to the Beer-Lambert Law and is, therefore, a function of the chemical composition andconcentration of organic material, yielding unique quantitative Linear AbsorptionCoefficient (LAC) measurements for specimen components. We have used this label-free imaging technology to image and quantify a wide variety of structures, includingisolated organic particles, bacteria, yeast, spores, algae, larger mammalian cells andtissue. I will present examples of SXT data that enabled biological findings that couldn’t be obtained with other technologies.


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