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LASSP & AEP Seminar by Changhuei Yang (California Institute of Technology)

Tuesday, December 6, 2022 at 12:20pm

Clark Hall, 700 Central Campus, 142 Sciences Drive

Changhuei Yang
Thomas G. Myers Professor of Electrical Engineering, Bioengineering and Medical Engineering
California Institute of Technology

Computation in Microscopy: How computers are changing the way we build and use microscopes

The level of computational power we can currently access has significantly changed the way we think about, process, and interact with microscopy images. In this talk, I will discuss some of our recent computational microscopy and deep learning work that showcase some of these shifts in the context of pathology and life science research. I will talk about Fourier Ptychographic Microscopy (FPM), a novel way to collect and process microscopy data that is capable of zeroing out physical aberrations from microscopy images. As a novel way to collect and process microscopy data, FPM can also bring significant workflow advantages to pathology. I will also talk about the use of Deep Learning in image analysis, and point out some of the novel and impactful ways it is changing how we deal with image data in pathology and life-science research. These surprising findings strongly indicate the need for the redesign of physical microscope systems to enable the next level of AI-based image analysis. I will briefly touch on the shape and form that these redesigns might look like.he level of computational power we can currently access, has significantly changed the way we think about, process and interact with microscopy images. In this talk, I will discuss some of our recent computational microscopy and deep learning work, that showcase some of these shifts in the context of pathology and life science research. I will talk about Fourier Ptychographic Microscopy (FPM) – a novel way to collect and process microscopy data that is capable of zeroing out physical aberrations from microscopy images. As a novel way to collect and process microscopy data, FPM can also bring significant workflow advantages to pathology. I will also talk about the use of Deep Learning in image analysis, and point out some of novel and impactful ways it is changing how we deal with image data in pathology and life science research. These surprising findings strongly indicate the need for the redesign of physical microscope systems to enable the next level of AI based image analysis. I will briefly touch on the shape and form that these redesigns might look like. 

Hosted by Chris Xu

Pizza served starting at 12:10 p.m.
Please bring your own beverage

For those who cannot attend in person but would like to see the seminar, livestream only will be available via Zoom:
https://cornell.zoom.us/j/98722799978?pwd=OEdYdGpWYjVuSHh2Ry82NGw3T3ZZQT09
Webinar ID: 987 2279 9978
Passcode: 8235

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