Related references
Note: Only part of the references are listed.Quantitative analysis of fluorescent ligand binding to dopamine D3receptors using live cell microscopy
Anni Allikalt et al.
FEBS JOURNAL (2021)
YeastNet: Deep-Learning-Enabled Accurate Segmentation of Budding Yeast Cells in Bright-Field Microscopy
Danny Salem et al.
APPLIED SCIENCES-BASEL (2021)
Practical segmentation of nuclei in brightfield cell images with neural networks trained on fluorescently labelled samples
Dmytro Fishman et al.
JOURNAL OF MICROSCOPY (2021)
Evaluating Very Deep Convolutional Neural Networks for Nucleus Segmentation from Brightfield Cell Microscopy Images
Mohammed A. S. Ali et al.
SLAS DISCOVERY (2021)
Differently fluorescence-labelled dibenzodiazepinone-type muscarinic acetylcholine receptor ligands with high M2R affinity
Corinna G. Gruber et al.
RSC MEDICINAL CHEMISTRY (2020)
Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images
Juan C. Caicedo et al.
CYTOMETRY PART A (2019)
U-Net: deep learning for cell counting, detection, and morphometry
Thorsten Falk et al.
NATURE METHODS (2019)
Latent Space Autoregression for Novelty Detection
Davide Abati et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Heterodimerization of Dibenzodiazepinone-Type Muscarinic Acetylcholine Receptor Ligands Leads to Increased M2R Affinity and Selectivity
Xueke She et al.
ACS OMEGA (2017)
Avoiding artefacts during electron microscopy of silver nanomaterials exposed to biological environments
S. Chen et al.
JOURNAL OF MICROSCOPY (2016)
Recognizing and Preventing Artifacts in Microscopy: A Roundtable Discussion
E. Ann Ellis et al.
MICROSCOPY AND MICROANALYSIS (2016)
M2 Subtype preferring dibenzodiazepinone-type muscarinic receptor ligands: Effect of chemical homo-dimerization on orthosteric (and allosteric?) binding
Max Keller et al.
BIOORGANIC & MEDICINAL CHEMISTRY (2015)
Image artifacts in Single Molecule Localization Microscopy: why optimization of sample preparation protocols matters
Donna R. Whelan et al.
SCIENTIFIC REPORTS (2015)
One-class classification: taxonomy of study and review of techniques
Shehroz S. Khan et al.
KNOWLEDGE ENGINEERING REVIEW (2014)
scikit-image: image processing in Python
Stefan van der Walt et al.
PEERJ (2014)