Heading
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Etiam aliquam nisl sit amet lacus volutpat, vitae commodo odio tincidunt. Suspendisse libero purus, tincidunt in massa vel, eleifend aliquet mi. Sed erat lorem, posuere quis dolor ullamcorper, posuere bibendum arcu. Donec lacinia rutrum nibh faucibus malesuada. Quisque non aliquam nibh, quis laoreet magna. Morbi blandit ex sed lorem blandit interdum.
Entomology: Insect Detection and Classification
In public collaboration with the CBGP team of
- Jean-Yves Rasplus & Astrid Cruaud.
Research project to test the feasibility of detecting and classifying small insects using artificial intelligence. This project is conducted using HitLoop, our internal AI toolbox.
Dendrite explorer
In public collaboration with - the Eric Hosy
CNRS team.
Bionomeex developped an application which automatize the detection of spines and generate automatic skeletons for dendrites.
Ladybugs CBGP
In public collaboration with
- CBGP team of Arnaud Estoup.
BionomeeX has launched a collaborative project with CBGP, led by Arnaud Estoup, to undertake an intriguing investigation into the geographic distribution of ladybug color morphs.
Our primary objective is to ascertain whether color variation is governed by distinct genetic markers, environmental temperatures and/or gender.
HIXLOOP
In-house developed software.
BionomeeX has developed Hitloop, an innovative toolbox that revolutionizes the classification and analysis of imaging data through AI-powered methods.
Hitloop streamlines the data labeling process by allowing users to import their own data and build a powerful model with a small portion of it.
Simulation of shading and radiance.
In collaboration with Davele.
BionomeeX has designed a shading simulation alongside direct and indirect radiance to support Davele's research
in agro-photovoltaics.
ANR ULTIM
In public collaboration with
- Laurent Nussaume of CEA.
BionomeeX collaborates as a partner in the Ultim ANR project.
Ultim project is a PRCE supported by ANR, led by CEA Cadarache (Dr. Laurent Nussaume).
BionomeeX uses advanced image analysis powered by deep learning to find and track nuclei, then locate transcription sites within them.
RNA-SEQ
In public collaboration with
- Marie Barberon from the University of Geneva.
BionomeeX developped a RNA-Seq software that involved applying differentiated treatments to RNA, requiring the analysis of large databases of RNA sequences.
Luxiol
In-house developed software
To complement the NEXT GEN GWAS, our researchers developed Luciol.
Specially designed to navigate billions of epistatic interactions, Luciol stands as a meticulously crafted cutting-edge software to decode the complexities of epistatic interactions.
Bird protection by AI for Wind Farms
In collaboration with BioDivWind
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Etiam aliquam nisl sit amet lacus volutpat, vitae commodo odio tincidunt. Suspendisse libero purus, tincidunt in massa vel, eleifend aliquet mi. Sed erat lorem, posuere quis dolor ullamcorper, posuere bibendum arcu. Donec lacinia rutrum nibh faucibus malesuada. Quisque non aliquam nibh, quis laoreet magna. Morbi blandit ex sed lorem blandit interdum.
Creation of BionomeeX
BionomeeX was created through collaboration and innovation projects.
With their combined experience and expertise, the team focused their efforts on supporting research in biology, medicine, and ecology.
Super Resolution Microscopy Enhancement
In public collaboration with
- CNRS team of Eric Hosy
AI algorithm developed in collaboration with CNRS researchers to enhance the accuracy of Single-Particle Tracking Photoactivated Localization Microscopy (SptPALM). This algorithm enables the recovery of particle tracks three times longer than those achieved with high-power lasers, using very low laser conditions.
DEEPIRON
In public collaboration with
- IPSiM team of CNRS
Software for detection and classification of iron concentration in plant cells of the first stage (cotyledons).
Next Gen Gwas
Research thesis
Our three founders worked on an ambitious project: a thesis on NEXT GEN GWAS (NGG).
NGG offers a solution to the 'missing heritability' problem of first-generation studies, allowing for efficient decoding of billions of genetic interactions in genomic analysis.
The fruitful encounter of 3 researchers
Before giving birth to BionomeeX, three researchers from the world of public research met and collaborated on various research projects. Their paths crossed in the hallways of laboratories, driven by a passion to enhance scientific research.
Motivated by their desire to push the boundaries of knowledge, these researchers pooled their skills and innovative ideas to bring ambitious projects to life.
