التفاصيل البيبلوغرافية
| العنوان: |
3D-Cell-Annotator : an open-source active surface tool for single-cell segmentation in 3D microscopy images |
| المؤلفون: |
Tasnadi, Ervin A., Toth, Timea, Kovacs, Maria, Diosdi, Akos, Pampaloni, Francesco, Molnar, Jozsef, Piccinini, Filippo, Horvath, Peter |
| المساهمون: |
Institute for Molecular Medicine Finland, University of Helsinki |
| بيانات النشر: |
Oxford University Press |
| سنة النشر: |
2020 |
| المجموعة: |
Helsingfors Universitet: HELDA – Helsingin yliopiston digitaalinen arkisto |
| مصطلحات موضوعية: |
Biochemistry, cell and molecular biology, Computer and information sciences |
| الوصف: |
aSummary: Segmentation of single cells in microscopy images is one of the major challenges in computational biology. It is the first step of most bioimage analysis tasks, and essential to create training sets for more advanced deep learning approaches. Here, we propose 3D-Cell-Annotator to solve this task using 3D active surfaces together with shape descriptors as prior information in a semi-automated fashion. The software uses the convenient 3D interface of the widely used Medical Imaging Interaction Toolkit (MITK). Results on 3D biological structures (e.g. spheroids, organoids and embryos) show that the precision of the segmentation reaches the level of a human expert. ; Peer reviewed |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
This work was supported by the LENDULET-BIOMAG Grant [2018-342] and from the European Regional Development Funds [GINOP-2.3.2-15-2016-00026 and GINOP-2.3.2-15-2016-00037] to E.T., T.T., M.K., A.D., J.M., F.P. and H.P.; the Union for International Cancer Control (UICC) for a granted UICC Technical Fellowship [ref: UICC-TF/19/640197] to F.P.; Tasnadi , E A , Toth , T , Kovacs , M , Diosdi , A , Pampaloni , F , Molnar , J , Piccinini , F & Horvath , P 2020 , ' 3D-Cell-Annotator : an open-source active surface tool for single-cell segmentation in 3D microscopy images ' , Bioinformatics , vol. 36 , no. 9 , pp. 2948-2949 . https://doi.org/10.1093/bioinformatics/btaa029; http://hdl.handle.net/10138/316285; 662d5785-9ac6-4fd3-bd28-af4937a927f3; 000537450900052 |
| الاتاحة: |
http://hdl.handle.net/10138/316285 |
| Rights: |
cc_by_nc ; info:eu-repo/semantics/openAccess ; openAccess |
| رقم الانضمام: |
edsbas.4F400386 |
| قاعدة البيانات: |
BASE |