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SUMMARY:High resolution magnetic resonance on moving fluids\, tissues\, an
 d insects
DTSTART:20260709T121500Z
DTEND:20260709T131500Z
DTSTAMP:20260907T001100Z
UID:indico-event-137@indico.zdv.uni-mainz.de
DESCRIPTION:Speakers: Jan G. Korvink (Institute of Microstructure Technolo
 gy)\n\nOur understanding of natural processes in the life sciences are ver
 y strongly dependent on our ability to observe in sufficient detail how an
  organism’s biochemical processes evolve\, and how they connect to that 
 organism’s overall behaviour. This is partially a technical issue\, beca
 use we require multiple observational modalities\, correlated with each ot
 her\, and at multiple length scales\, and as engineers it is the kind of m
 ethology we can contribute.One of our approaches is to detect fluid motion
  using MRI at high spatio-temporal resolution. Fluid flow is responsible f
 or transport within all organisms\, so good image resolution of fluid flow
  is important for any such analysis. The method confirms that motion can b
 e properly accounted for in MRI\, and reveals interesting patterns at this
  microscopic scale. Furthermore\, adjusting the way the information is enc
 oded into the MRI signal\, offers opportunities to extend the range of spe
 eds and other information that can be encoded.Particularly exciting is the
  chance to observe engineered living materials nondestructively\, during b
 ehaviour\, and ultimately to study a complete biophysical response at mult
 iple length scales and levels of detail. Here I will report on our observa
 tion of an important advantage of MRI in conjunction with carbon materials
 .Another approach is to develop a method to handle spontaneous organism mo
 vement in MRI. MRI is a precursor for high resolution spectroscopy via mol
 ecular imaging (voxel based NMR). Removing movement artefacts leads to use
 ful MRI\, and we hope eventually\, useful dynamic MR spectroscopy. Note\, 
 only humans will follow verbal instructions in the MRI\, and solving silen
 t motion compensation greatly extends the range and usefulness of MRI\, fo
 r example for technical systems\, organisms\, and even infants.In my talk 
 I will focus on our technical approaches and solutions\, establishing the 
 toolkit so-to-speak. I will draw on some of our recent publications listed
  below. Once the initial technical challenges are overcome\, such a capabi
 litity would help enable the unravelling needed to connect for molecular m
 etabolomics with observed behaviour.ReferencesFLOW MRI:M.A. Jouzdani\, M. 
 Jouda\, J.G. Korvink\, Optimal control flow encoding for time-efficient ma
 gnetic resonance velocimetry\, J. Mag. Res. 352 107461 (2023)\; doi: 10.10
 16/j.jmr.2023.107461G. Saliba\, J.G. Korvink\, J. Brandner\, Magnetic reso
 nance velocimetry reveals secondary flow in falling films at the microsca
 le\, Phys. Fluids 36\, 071705 (2024)\; doi: 10.1063/5.0214609G. Saliba\, J
 .G. Korvink\, J. Brandner\, Magnetic resonance velocimetry of thin falling
  films\, Chem. Eng. J. 498 (2024)\; doi: 10.1016/j.cej.2024.15526G. Saliba
 \, J.G. Korvink\, J. Brandner\, Magnetic resonance velocimetry shows detai
 led flow patterns in open microchannels\, Phys. Fluids 37\, 042017 (2025)\
 ; doi: 10.1063/5.0264777TISSUES IN SCAFFOLDS:E. Fuhrer\, A. Bäcker\, S. K
 raft\, F.J. Gruhl\, M. Kirsch\, N. MacKinnon\, J.G. Korvink\, S. Sharma\, 
 3D Carbon Scaffolds for Neural Stem Cell Culture and Magnetic Resonance Im
 aging\, Adv. Heath. Mat. 7(4) 1700915 (2018) doi: 10.1002/adhm.201700915A.
 D. Lantada\, M. Jouda\, W. Solorzano-Requejo\, D. Mager\, M. Islam.\, J.G.
  Korvink\, Combining μ-MRI with cellular automata simulation for an impro
 ved insight into cell growth within scaffolds\, Cell Reports Physical Scie
 nce 6\, 102629 (2025)\; doi: 10.1016/j.xcrp.2025.102629M. Islam\, C. Selhu
 ber-Unkel\, J.G. Korvink\, A.D. Lantada\, Engineered living carbon materia
 ls\, Matter 6\, 1382–1403 (2023)\; doi: 10.1016/j.matt.2023.03.018MOVING
  ORGANISMS:M. Reischl\, M. Jouda\, N. MacKinnon\, E. Fuhrer\, N. Bakhtina\
 , A. Bartschat\, R. Mikut\, J.G. Korvink\, Motion prediction enables simul
 ated MR-imaging of freely moving model organisms\, PLoS Comput Biol 15(12)
 : e1006997 (2019)\; doi:10.1371/journal.pcbi.1006997A. Chenakkara\, M. Jou
 da\, U. Wallrabe\, Jan G. Korvink\, Motion compensated magnetic resonance 
 imaging of an active sun beetle using an in situ treadmill\, Sci. Rep.\, 1
 5:40340 (2025)\; doi: 10.1038/s41598-025-27800-5A. Chenakkara\, M. Jouda\,
  U. Wallrabe\, Jan G. Korvink\, Residual motion artifact removal enables d
 ynamic μMRI of a behaving Pachnoda marginata\, J. Mag. Res\, 381\, 107954
  (2025)\; doi: 10.1016/j.jmr.2025.107954A. Chenakkara\, M. Jouda\, U. Wall
 rabe\, Jan G. Korvink\, In situ time-resolved motion of a tethered Pachnod
 a marginata\, AI-correlated using µMRI and optical imaging\, J. Mag. Res.
  (2026) accepted\n\nhttps://indico.zdv.uni-mainz.de/event/137/
LOCATION:Lorentz (IPH)
URL:https://indico.zdv.uni-mainz.de/event/137/
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