74 citations · 133 across the 10 of their papers we have counts for
12 papers
Tracking Intermittent Particles with Self-Learned Visual Features
Raphael Reme, Victor Piriou, Alison Hanson +5
In time-lapse fluorescence imaging, single-particle-tracking is a powerful tool to monitor the dynamics of objects of interest, and extract information about biological processes.…
SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model
Carlos Garcia-Lopez-de-Haro, Caterina Fuster-Barcelo, Curtis T. Rueden +9
Mask annotation remains a significant bottleneck in AI-driven biomedical image analysis due to its labor-intensive nature. To address this challenge, we introduce SAMJ, a user-frie…
SINETRA: a Versatile Framework for Evaluating Single Neuron Tracking in Behaving Animals
Raphael Reme, Alasdair Newson, Elsa Angelini +2
Accurately tracking neuronal activity in behaving animals presents significant challenges due to complex motions and background noise. The lack of annotated datasets limits the eva…
Deep ContourFlow: Advancing Active Contours with Deep Learning
Antoine Habis, Vannary Meas-Yedid, Elsa Angelini +1
This paper introduces a novel approach that combines unsupervised active contour models with deep learning for robust and adaptive image segmentation. Indeed, traditional active co…
Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images
Antoine Habis, Roy Rosman Nathanson, Vannary Meas-Yedid +2
This paper proposes a dynamic interactive and weakly supervised segmentation method with minimal user interactions to address two major challenges in the segmentation of whole slid…
JDLL: A library to run Deep Learning models on Java bioimage informatics platforms
Carlos Garcia Lopez de Haro, Stephane Dallongeville, Thomas Musset +6
We present JDLL, an agile Java library that offers a comprehensive toolset/API to unify the development of high-end applications of DL for bioimage analysis and to streamline their…
From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee
Selin Aviyente, Alejandro Frangi, Erik Meijering +6
The Bio Image and Signal Processing (BISP) Technical Committee (TC) of the IEEE Signal Processing Society (SPS) promotes activities within the broad technical field of biomedical i…
Dynamic Shape Modeling to Analyze Modes ofMigration During Cell Motility
Ximu Deng, Rituparna Sarkar, Elisabeth Labruyere +2
This paper develops a generative statistical model for representing, modeling, and comparing the morphological evolution of biological cells undergoing motility. It uses the elasti…
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection
Rituparna Sarkar, Suvadip Mukherjee, Elisabeth Labruyère +1
Detecting and segmenting individual cells from microscopy images is critical to various life science applications. Traditional cell segmentation tools are often ill-suited for appl…
Morphological Reconstruction of Detached Dendritic Spines via Geodesic Path Prediction
Sammit Jain, Suvadip Mukherjee, Lydia Danglot +1
Morphological reconstruction of dendritic spines from fluorescent microscopy is a critical open problem in neuro-image analysis. Existing segmentation tools are ill-equipped to han…
Off-axis compressed holographic microscopy in low-light conditions
Marcio M. Marim, Elsa Angelini, J. C. Olivo-Marin +1
This Letter reports a demonstration of off-axis compressed holography in low-light level imaging conditions. An acquisition protocol relying on a single exposure of a randomly unde…
Compressed Sensing with off-axis frequency-shifting holography
Marcio Marim, Michael Atlan, Elsa Angelini +1
This work reveals an experimental microscopy acquisition scheme successfully combining Compressed Sensing (CS) and digital holography in off-axis and frequency-shifting conditions.…