Extracting axial depth and trajectory trend using astigmatism, Gaussian fitting, and CNNs for protein tracking
Accurate analysis of vesicle trafficking in live cells is challenging for a number of reasons: varying appearance, complex protein movement patterns, and imaging conditions. To allow fast image acquisition, we study how employing an astigmatism can be utilized for obtaining additional information th...
Główni autorzy: | Delas Penas, K, Dmitrieva, M, Lefebvre, J, Zenner, H, Allgeyer, E, Booth, M, St Johnston, D, Rittscher, J |
---|---|
Format: | Conference item |
Język: | English |
Wydane: |
IEEE
2020
|
Podobne zapisy
-
Short trajectory segmentation with 1D UNET Framework: application to secretory vesicle dynamics
od: Dmitrieva, M, i wsp.
Wydane: (2020) -
Annotation-free learning of a spatio-temporal manifold of the cell life cycle
od: Kristofer delas Peñas, i wsp.
Wydane: (2023-01-01) -
Single-molecule localization microscopy reconstruction using Noise2Noise for super-resolution imaging of actin filaments
od: Lefebvre, J, i wsp.
Wydane: (2020) -
Protein tracking by CNN-based candidate pruning and two-step linking with Bayesian network
od: Dmitrieva, M, i wsp.
Wydane: (2019) -
Orbital angular momentum of an astigmatic Hermite-Gaussian beam
od: Victor Kotlyar, i wsp.
Wydane: (2018-02-01)