Author

D. Sage

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 6 Bioengineering· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 6 Approach:deep learning· 4 Research Focus:benchmarking· 3 Assay:fluorescence / live-cell microscopy· 3 Research Focus:clustering· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Approach:benchmark study· 1

Frequent Co-Authors

M. Unser· 5 shared J. Griffie· 3 shared D. M. Owen· 2 shared J.-B. Sibarita· 2 shared S. Holden· 2 shared A. Agrawal· 1 shared A. Archetti· 1 shared A. Herbert· 1 shared

Activity by Year

2018-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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5 shared papersBiophysics

M. Unser

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Author profile →

7 papers

Recent·Most cited

Surpassing Light Inhomogeneities in Structured-Illumination Microscopy with FlexSIM

E. Soubies, A. Nogueron, F. Pelletier, T. Mangeat, C. Leterrier, M. Unser, D. Sage

This paper introduces FlexSIM, a SIM reconstruction method that handles imaging challenges and achieves state-of-the-art performance on open datasets.

bioRxiv · Dec 20, 2023Biophysics

A framework for evaluating the performance of SMLM cluster analysis algorithms

D. J. Nieves, J. A. Pike, F. Levet, J. Griffie, D. Sage, E. A. K. Cohen, J.-B. Sibarita, M. Heilemann, D. M. Owen

The paper evaluates SMLM cluster analysis algorithms using ARI and IoU metrics across simulated scenarios to establish a standard framework for future algorithm development.

bioRxiv · Jun 19, 2021Biophysics

DeepImageJ: A user-friendly environment to run deep learning models in ImageJ

E. Gomez-de-Mariscal, C. Garcia-Lopez-de-Haro, W. Ouyang, L. Donati, E. Lundberg, M. Unser, A. Munoz-Barrutia, D. Sage

DeepImageJ provides a user-friendly environment for using pre-trained deep learning models in ImageJ for biomedical image analysis tasks.

bioRxiv · May 6, 2021Bioengineering

Correction of multiple-blinking artefacts in photoactivated localisation microscopy

L. G. Jensen, T. Y. Hoh, D. J. Williamson, J. Griffie, D. Sage, P. Rubin-Delanchy, D. M. Owen

This paper corrects multiple-blinking artefacts in PALM data using model-based clustering and calibration-free blinking dynamics estimation, enabling accurate quantification of fluorophore clustering.

bioRxiv · Mar 24, 2021 · PreprintBiophysics

GRAPHIC: GRAPH-BASED HIERARCHICAL CLUSTERING FOR SINGLE-MOLECULE LOCALIZATION MICROSCOPY

M. Pouria, S. Aziznejad, M. Unser, D. Sage

The paper introduces a graph-based hierarchical clustering method for single-molecule localization microscopy data to analyze biological particles across scales.

bioRxiv · Dec 22, 2020 · PreprintBiophysics

Virtual-SMLM, a virtual environment for real-time interactive SMLM acquisition

J. Griffie, T.-A. M. Pham, C. Sieben, R. Lang, V. Cevher, S. Holden, M. Unser, S. Manley, D. Sage

Virtual-SMLM provides a virtual environment for real-time interactive single molecule localisation microscopy acquisition, enabling training and validation of automated methods with realistic simulated data.

bioRxiv · Mar 5, 2020 · PreprintBiophysics

Super-resolution fight club: A broad assessment of 2D & 3D single-molecule localization microscopy software

D. Sage, T.-A. Pham, H. Babcock, T. Lukes, T. Pengo, J. Chao, R. Velmurugan, A. Herbert, A. Agrawal, S. Colabrese, A. Wheeler, A. Archetti, B. Rieger, R. Ober, G. M. Hagen, , S. Holden

The paper evaluates 36 single-molecule localization microscopy software packages using simulated datasets to assess their performance in 2D and 3D imaging.

bioRxiv · Dec 1, 2018Biophysics