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SUMMARY:Imaging Seminar: Bridging Microscopy and Genomics with Machine Lea
 rning
DTSTART:20250410T170000
DTEND:20250410T180000
DTSTAMP:20260609T060533Z
UID:a7760b2977c00bb93118a28254a7eadd2bbf2088f5ad778b2d596224
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Koseki Kobayashi\, MIT\n<< Registration below >>\n\nAbstra
 ct: \nSingle-cell RNA-seq and other profiling assays have opened new wind
 ows into understanding cells' properties\, regulation\, dynamics\, and fun
 ction at unprecedented resolution and scale. However\, these assays are in
 herently destructive\, precluding us from tracking their temporal dynamics
 . Here\, we present Raman2RNA (R2R)\, an experimental and computational fr
 amework to infer single-cell expression profiles in live cells through Ram
 an microscopy images and domain translation using adversarial training. We
  demonstrate R2R in reprogramming mouse fibroblasts or differentiating mou
 se embryonic stem cells and show that their expression profiles can be acc
 urately predicted in live cells. We also apply our method to other modalit
 ies\, providing genomic interpretability to widely available modalities su
 ch as H&E stains. Our method should imply broad applications to understand
 ing expression dynamics at scale in vitro and in vivo.\n\nBio: \nKoseki K
 obayashi is a postdoc at MIT in Mechanical Engineering working with Drs. P
 eter So and Aviv Regev.\nHe's interested in the interface of genomics and 
 spectroscopy\, and his recent work demonstrated that genomics profiles of 
 single live cells could be accurately predicted using machine learning and
  Raman microscopy\, a label-free non-destructive micro-spectroscopy techni
 que that can report on vibrational energy levels of molecules. The method\
 , Raman2RNA\, should have broad implications for understanding expression 
 dynamics at scale in vitro and in vivo.\n\nThe seminar is followed by an a
 peritif. \n\nRegistration appreciated\nMore info here
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202
STATUS:CONFIRMED
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