Related publications (64)

Biological material pooling device for biological or biomolecule purification

Bart Deplancke, Riccardo Dainese, Daniel Alpern

The present invention concerns a biological material pooling device for biological or biomolecule purification comprising a receptacle including a first orifice comprising ordefining a rectangular opening, the receptacle being configured to receive at leas ...
2023

A benchmark dataset for machine learning in ecotoxicology

Kristin Schirmer, Marco Baity-Jesi, Fernando Perez Cruz

The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized. The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological background, ...
Berlin2023

Controlling morpho-electrophysiological variability of neurons with detailed biophysical models

Henry Markram, Werner Alfons Hilda Van Geit, Lida Kanari, Alexis Arnaudon, Maria Reva, Mickael Maurice Zbili

Variability is a universal feature among biological units such as neuronal cells as they enable a robust encoding of a high volume of information in neuronal circuits and prevent hyper synchronizations such as epileptic seizures. While most computational s ...
2023

A study model for reconstructing urban ecological niches

Francesco Mondada, Robert Matthew Mills

The Living Arch is a study model that was designed to showcase our ongoing research into bioactive architectural systems to be inhabited by honeybees. The arch is a synergistic combination of 3D printing and active mycelia growth, created for a museum exhi ...
CRC Press2022

Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models

Vassily Hatzimanikatis, Georgios Fengos, Maria Masid Barcon, Daniel Robert Weilandt, Zhaleh Hosseini, Pierre Guy Rémy Salvy

Motivation: Large-scale kinetic models are an invaluable tool to understand the dynamic and adaptive responses of biological systems. The development and application of these models have been limited by the availability of computational tools to build and ...
OXFORD UNIV PRESS2022

Monodisperse Selectively Permeable Hydrogel Capsules Made from Single Emulsion Drops

Esther Amstad, Alexandre Louis André Persat, Huachuan Du, Mathias Steinacher, Alice Cont

Capsules are often used to protect chemical and biological entities from the environment, to control the timing and location of their release, or to facilitate the collection of waste. Their performance depends on the thickness and composition of their she ...
2021

Quantification of Strand Accessibility in Biostable DNA Origami with Single-Staple Resolution

Maartje Martina Cornelia Bastings, Alice Comberlato

DNA-based nanostructures are actively gaining interest as tools for biomedical and therapeutic applications following the recent development of protective coating strategies prolonging structural integrity in physiological conditions. For tailored biologic ...
AMER CHEMICAL SOC2021

Surprise-based model estimation in reinforcement learning: algorithms and brain signatures

Vasiliki Liakoni

Learning how to act and adapting to unexpected changes are remarkable capabilities of humans and other animals. In the absence of a direct recipe to follow in life, behaviour is often guided by rewarding and by surprising events. A positive or a negative o ...
EPFL2021

Perspectives on Individual Animal Identification from Biology and Computer Vision

Alexander Mathis, Maxime Michel André Vidal

Identifying individual animals is crucial for many biological investigations. In response to some of the limitations of current identification methods, new automated computer vision approaches have emerged with strong performance. Here, we review current a ...
OXFORD UNIV PRESS INC2021

Using flow cytometry and light-induced fluorescence to characterize the variability and characteristics of bioaerosols in springtime in Metro Atlanta, Georgia

Athanasios Nenes

The abundance and speciation of primary biological aerosol particles (PBAP) is important for understanding their impacts on human health, cloud formation, and ecosystems. Towards this, we have developed a protocol for quantifying PBAP collected from large ...
COPERNICUS GESELLSCHAFT MBH2020

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