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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME: LASSP & AEP Seminar by Changhuei Yang (California Institute o
 f Technology)
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260719T095843Z
UID:tag:localist.com\,2008:EventInstance_40687858917481
DTSTART:20221206T172000Z
DTEND:20221206T182000Z
DESCRIPTION:Changhuei Yang\nThomas G. Myers Professor of Electrical Enginee
 ring\, Bioengineering and Medical Engineering\nCalifornia Institute of Tec
 hnology\n\nComputation in Microscopy: How computers are changing the way w
 e build and use microscopes\n\nThe level of computational power we can cur
 rently access has significantly changed the way we think about\, process\,
  and interact with microscopy images. In this talk\, I will discuss some o
 f our recent computational microscopy and deep learning work that showcase
  some of these shifts in the context of pathology and life science researc
 h. I will talk about Fourier Ptychographic Microscopy (FPM)\, a novel way 
 to collect and process microscopy data that is capable of zeroing out phys
 ical aberrations from microscopy images. As a novel way to collect and pro
 cess microscopy data\, FPM can also bring significant workflow advantages 
 to pathology. I will also talk about the use of Deep Learning in image ana
 lysis\, 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 physica
 l 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 signif
 icantly changed the way we think about\, process and interact with microsc
 opy 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 Fou
 rier 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 a
 lso 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 dat
 a in pathology and life science research. These surprising findings strong
 ly indicate the need for the redesign of physical microscope systems to en
 able the next level of AI based image analysis. I will briefly touch on th
 e shape and form that these redesigns might look like. \n\nHosted by Chris
  Xu\n\nPizza served starting at 12:10 p.m.\nPlease bring your own beverage
 \n\nFor those who cannot attend in person but would like to see the semina
 r\, livestream only will be available via Zoom:\nhttps://cornell.zoom.us/j
 /98722799978?pwd=OEdYdGpWYjVuSHh2Ry82NGw3T3ZZQT09\nWebinar ID: 987 2279 99
 78\nPasscode: 8235
GEO:42.449761;-76.4812
LOCATION:Clark Hall\, 700
SUMMARY: LASSP & AEP Seminar by Changhuei Yang (California Institute of Tec
 hnology)
URL;VALUE=URI:https://events.cornell.edu/event/lassp_and_aep_seminar_by_cha
 nghuei_yang_california_institute_of_technology
CATEGORIES:Seminar
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