Automatic Segmentation of Mitochondria and Endolysosomesin Volumetric Electron Microscopy Data
- Year of publication
- 2020
- Author
- Manca Žerovnik Mekuča, Ciril Bohak, Samo Hudoklin, Byeong Hak Kim, Rok Romih, Min Young Kim and Matija Marolt
- Journal
- Computers in Biology and Medicine
- volume
- 119
- File
-
Automatic_Segmentation_of_Mitochondria_and_Endo_lysosomes_in_Volumetric_EM_Data___Computers_in_Biology_and_Medicine.pdf
(16.3M)
29회 다운로드
DATE : 2020-03-16 10:58:28
Automaticsegmentationofintracellularcompartmentsisapowerfultechnique,whichprovidesquantitativedataaboutpresence, spatialdistribution, structureandconsequentlythefunctionofcells. Withtherecentdevelopmentofhighthroughputvolumetricdataacquisitiontechniquesinelectron microscopy(EM),manualsegmentationisbecomingamajorbottleneckoftheprocess. Toaidthe cellresearch,weproposeatechniqueforautomaticsegmentationofmitochondriaandendolysosomes obtainedfromurinarybladderurothelialcellsbythedualbeamEMtechnique. Wepresentanovel publiclyavailablevolumetricEMdataset thefirstofurothelialcells,evaluateseveralstate-of-theartsegmentationmethodsonthenewdatasetandpresentanovelsegmentationpipeline,whichis basedonsuperviseddeeplearningandincludesmechanismsthatreducetheimpactofdependenciesintheinputdata,artefactsandannotationerrors. Weshowthatourapproachoutperformsthe comparedmethodsontheproposeddataset.
