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SUMMARY:4D reconstruction of developmental trajectories  - Giovanni Dalmas
 so (EMBL Barcelona\, Sharpe Lab) 
DTSTART:20220613T133000Z
DTEND:20220613T143000Z
UID:TALK173231@talks.cam.ac.uk
CONTACT:Elena Scarpa
DESCRIPTION:he continuous progress in imaging and computer modelling have 
 increased our understanding of morphogenetic processes at different scales
 \, from organs up to entire organisms. However\, in the case of complex an
 imal models (e.g.\, mouse embryogenesis)\, is not yet entirely possible to
  observe in real time the full growth of a developing embryo. Consequently
 \, the current 3D data availability in these cases\, even if extensive and
  detailed\, provides only a characterisation of development at discrete mo
 ments in time\, through single snapshots. To fill this gap\, we set up a c
 omputer-based approach to describe the evolution in space and time of deve
 lopmental stages from 3D volumetric images. Specifically\, we represent ea
 ch data into the spherical harmonics space\, and we reconstruct the volume
 s using the values of the spherical harmonics’ coefficients interpolated
  in time (over the developmental stages). As a result\, the reconstruction
  describes a continuous and smooth changing shape over space and time. We 
 tested this approach using two different data sets: (1) mouse limb buds an
 d (2) mouse hearts. (1) ~100 optical projection tomography (OPT) of mouse 
 limbs were used and the result represents the 4D growth of an ideal limb w
 hich considers the common characteristics and features of all the limbs in
  the data set. We are recreating the growing process starting from E10 (i.
 e.\, 10 days after conception) when the limb bud is just a small bump of t
 issue and finishing at E12.5 when the limb bud already shows a distinctive
  “paddle” shape. This approach proved to be robust even in the case of
  mouse hearts (2) where only a limited number of sample (~30) were used. A
 lso\, in this case we were able to create a continuous time-course describ
 ing the heart development of a mouse starting from 10 to 29 somites. This 
 approach\, able to combine the complexity of different arbitrary shapes ov
 er space and time\, not only provides a quantitative basis for validating 
 predictive models\, but it also increases our understanding of morphogenet
 ic processes from a purely geometrical point of view. \n\n 
LOCATION:Online
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