000267672 001__ 267672
000267672 005__ 20190812204805.0
000267672 037__ $$aCONF
000267672 245__ $$aImproving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation
000267672 260__ $$c2019
000267672 269__ $$a2019
000267672 300__ $$a5
000267672 336__ $$aConference Papers
000267672 520__ $$aTotal internal reflection fluorescence microscopy (TIRF) produces 2D images of the fluorescent activity integrated over a very thin layer adjacent to the glass coverslip. By varying the illumination angle (multi-angle TIRF), a stack of 2D images is acquired from which it is possible to estimate the axial position of the observed biological structures. Due to its unique optical sectioning capability, this technique is ideal to observe and study biological processes at the vicinity of the cell membrane. In this paper, we propose an efficient reconstruction algorithm for multi-angle TIRF microscopy which accounts for both the PSF of the acquisition system (diffraction) and the background signal (e.g., autofluorescence). It jointly performs volume reconstruction, deconvolution, and background estimation. This algorithm, based on the simultaneous-direction method of multipliers (SDMM), relies on a suitable splitting of the optimization problem which allows to obtain closed form solutions at each step of the algorithm. Finally, numerical experiments reveal the importance of considering the background signal into the reconstruction process, which reinforces the relevance of the proposed approach.
000267672 700__ $$0250484$$aSoubies, Emmanuel$$g276375
000267672 700__ $$aBlanc-Féraud, Laure
000267672 700__ $$aSchaub, S.
000267672 700__ $$aVan Obberghen-Schilling, E
000267672 7112_ $$aSixteenth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'19)$$cVenice, Italian Republic$$dApril 8-11, 2019
000267672 773__ $$tProceedings of the Sixteenth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'19)
000267672 8560_ $$fphilippe.thevenaz@epfl.ch
000267672 8564_ $$uhttps://infoscience.epfl.ch/record/267672/files/soubies1902p.pdf$$zPREPRINT$$s400032
000267672 909C0 $$pLIB$$mphilippe.thevenaz@epfl.ch$$0252054$$zMarselli, Béatrice$$xU10347
000267672 909CO $$pconf$$pSTI$$ooai:infoscience.epfl.ch:267672
000267672 960__ $$aphilippe.thevenaz@epfl.ch
000267672 961__ $$avalerie.charbonnier@epfl.ch
000267672 973__ $$aEPFL$$rREVIEWED
000267672 980__ $$aCONF
000267672 981__ $$aoverwrite