000265772 001__ 265772
000265772 005__ 20190527172611.0
000265772 037__ $$aREP_WORK
000265772 088__ $$aIdiap-RR-04-2019
000265772 245__ $$aVirtual High-Framerate Microscopy of the Beating Heart via Sorting of Still Images
000265772 260__ $$c2019$$bIdiap
000265772 269__ $$a2019
000265772 336__ $$aReports
000265772 520__ $$aMicroscopy of the beating heart in embryos provides key insights for the study of its development. However, achieving a sufficiently high framerate is difficult with conventional cameras. Here, we present a method to reconstruct an image sequence covering one heartbeat from images acquired over multiple cardiac cycles, with each image triggered at an arbitrary time, by sorting them according to their similarity. We formulate this task as a traveling salesman problem for which efficient solutions are available. We characterized our approach by evaluating its accuracy on synthetically generated data and sub-sampled high-speed movies of the beating heart in zebrafish larvae. We found that reconstructions are reliable when each phase produces a distinct image and when there are no abrupt cardiac motions, which amounts to collecting at least 100 images in a typical microscopy imaging scenario. We finally demonstrate that our method can be applied on data acquired with a fast confocal microscope, increasing its limited frame-rate by a factor 8.
000265772 700__ $$aMariani, Olivia
000265772 700__ $$aChan, Kevin G.
000265772 700__ $$aErnst, Alexander
000265772 700__ $$aMercader, Nadia
000265772 700__ $$aLiebling, Michael
000265772 7712_ $$dMay 2019
000265772 8564_ $$zRelated documents$$xPUBLIC$$uhttp://publications.idiap.ch/downloads/reports/2018/Mariani_Idiap-RR-04-2019.pdf
000265772 909C0 $$zMarselli, Béatrice$$mfranck.formaz@epfl.ch$$xU10381$$pLIDIAP$$0252189
000265772 909CO $$ooai:infoscience.epfl.ch:265772$$preport$$pSTI
000265772 970__ $$aMariani_Idiap-RR-04-2019/IDIAP
000265772 980__ $$aREPORT
000265772 980__ $$aREP_WORK