How do interactions among plants, fungi, and environmental conditions shape ecological communities?
Competition, facilitation, symbiosis, traits, and environmental gradients contribute to community structure.
COMMUNITIES · IMAGES · CURRENTS
Between Layers connects community ecology, biomedical imaging, and cellular electrophysiology to explore how researchers identify interfaces, measure structure, and interpret interactions across biological scales.
Independent educational resource
Competition, facilitation, symbiosis, traits, and environmental gradients contribute to community structure.
Segmentation, registration, geometry, and image analysis turn visual information into quantitative descriptions.
Channel opening, ion selectivity, voltage, and pharmacology influence cellular electrical activity.
LOOK BETWEEN THE LAYERS
Communities emerge through interaction.
Images depend on representation.
Membranes regulate exchange.
Interpretation depends on scale.
FOUR WAYS TO READ BIOLOGICAL STRUCTURE
Explore how ecological communities, biomedical images, and cellular systems become observable through different research methods.
Explore how competition, facilitation, plant traits, environmental conditions, and species interactions contribute to the composition and diversity of ecological communities.
Study relationships between plant roots and mycorrhizal fungi, including mutualistic interactions, fungal communities, plant distribution, and ecological assembly across local and global scales.
Examine how image processing, segmentation, registration, geometry, pattern recognition, and quantitative analysis can transform medical images into measurements of biological structure.
Explore membrane physiology, ion channels, cardiac electrical activity, channelopathies, pharmacology, and the movement of ions that contributes to cellular signaling.
WHAT HAPPENS AT AN INTERFACE?
How can below-ground symbiosis influence plant community structure?
The interface is ecological and biological. It is shaped by species, environmental conditions, traits, and reciprocal exchange.
How does an image representation become a measurement of anatomy?
An image is a representation, not the biological structure itself. Analysis choices influence the measurements researchers obtain.
How can selective ion movement alter cellular electrical activity?
Ion channels are membrane proteins whose properties influence ionic currents and cellular electrical behavior.
THE CROSS-SCALE METHOD
Identify the biological structure, representation, or membrane interface being studied.
Define the elements on each side of the interface and how they can interact.
Specify which observations are direct and which require processing, modeling, classification, or inference.
Examine variation across organisms, images, cells, environments, samples, or experimental conditions.
Ask whether conclusions remain valid when moving from local interactions to community patterns, image-level structure, or cellular function.
Identify uncertainty, alternative explanations, representation limits, and evidence that could contradict the interpretation.
EDUCATIONAL REFERENCE POINTS
These profiles are presented as educational reference points for exploring public academic work. They are not presented as members, employees, partners, collaborators, representatives, endorsers, or affiliates of Between Layers.
Platform contact note The first three email addresses are platform contact addresses supplied for this site and are not presented as verified university or institutional email accounts.
University of Tartu · Institute of Ecology and Earth Sciences · Department of Botany
Vice Rector for Research · Professor in Community Ecology
Research on ecological interactions underlying plant-community diversity and composition, including competition and facilitation among plants, mycorrhizal symbiosis, plant-fungal relationships, fungal community composition, plant traits, biodiversity, community assembly, environmental gradients, plant invasion, and ecological patterns across local and global scales.
ORCID 0000-0002-4819-7506
University of Ljubljana · Faculty of Electrical Engineering · Laboratory of Imaging Technologies
Professor
Research and teaching in biomedical imaging, medical image analysis, image and video processing, pattern recognition, quantitative analysis of anatomical structures, biomedical informatics, and computational methods for extracting clinically and scientifically useful information from images.
ORCID 0000-0002-6625-0307
Sultan Qaboos University · College of Medicine and Health Sciences · Department of Physiology
Assistant Professor
Research in cellular and molecular physiology with emphasis on ion channel physiology and pharmacology, genetically inherited ion channel diseases, cardiac arrhythmias including Long QT syndrome, cystic fibrosis, membrane electrical activity, cellular models, and the physiological consequences of altered channel function.
ORCID 0000-0003-1909-0141
University of Tartu · Institute of Ecology and Earth Sciences · Plant Ecology Laboratory
Associate Professor of Plant Ecology · Doctoral tutor
Research on plant ecology, biodiversity, community assembly, plant-mycorrhizal interactions, arbuscular mycorrhizal fungi, microbial biogeography, ecological niches, high-throughput sequencing, phylogenetic information, organism traits, and quantitative methods for understanding plant and fungal communities.
ORCID 0000-0002-0161-6195
Educational reference point
University of Ljubljana · Faculty of Electrical Engineering · Laboratory of Imaging Technologies
Professor · Medical Image Analysis · Robot Vision
Research in medical image analysis, computer vision, image processing, biomedical image interpretation, quantitative imaging, image-derived measurements, computational methods, pattern analysis, and systems for extracting structured information from biomedical and visual data.
ORCID 0000-0001-8300-0417
Educational reference point
University of Bristol · Bristol Medical School
Professor of Cardiac Electrophysiology
Research on cardiac electrophysiology and membrane proteins involved in electrical activity, including ion channels, ion exchangers, cardiac action potentials, atrioventricular node physiology, electrophysiological techniques, calcium cycling, acidosis, arrhythmia mechanisms, and the cellular basis of cardiac electrical function.
ORCID 0000-0002-2055-6482
Educational reference point
REFERENCE STATUS
Between Layers is an independent educational prototype. Academic names and institutional references are included solely to help readers discover relevant areas of public scholarship.
The first three platform contact addresses were supplied specifically for this site. They are not presented as verified personal, university, institutional, or employer-provided email accounts.
The remaining profiles are educational reference points only and are not presented as participants in, contributors to, endorsers of, or affiliates of this resource.
STUDY SHEETS
Browse educational notes across community ecology, mycorrhizal interactions, biomedical image analysis, ion channels, and cellular electrophysiology.
10 sheets
Species composition, abundance, competition, facilitation, environmental filtering, dispersal, functional traits, spatial variation, community assembly, disturbance, and sampling all matter. The presence of the same species does not necessarily imply the same ecological community structure.
Resource competition, light, water, nutrients, environmental stress, plant size, spatial proximity, facilitation, microclimate, life stage, density, and species traits can shift ecological interactions across environmental conditions.
Mycorrhizal fungi interact with plant roots, fungal networks can influence nutrient acquisition, and plants supply carbon compounds. Associations differ among species and can influence plant performance, community assembly, and ecosystem processes; they are not universally beneficial.
Sampling grain, spatial extent, local communities, regional species pools, biogeography, environmental gradients, species distribution, statistical aggregation, and nested scales shape conclusions. A finding at one spatial scale may not apply at another.
Image acquisition, resolution, contrast, noise, reconstruction, preprocessing, anatomical interpretation, measurement, calibration, observer variation, and computational processing matter. Image-derived quantities depend on both biological structure and the imaging process.
Pixels or voxels, anatomical regions, manual and automatic segmentation, machine-learning approaches, boundary uncertainty, class imbalance, reference annotations, Dice-style overlap, and clinical context make segmentation an interpretive and computational task—not simply drawing a line.
Rigid and non-rigid transformations, landmarks, similarity measures, coordinate systems, deformation, multimodal imaging, longitudinal studies, interpolation, and validation affect alignment. A successful visual alignment is not automatically anatomically correct.
Lipid membranes, ionic gradients, channel proteins, selectivity, gating, voltage dependence, conductance, membrane potential, electrophysiological measurement, and pharmacology shape current. It depends on both the channel and surrounding electrochemical conditions.
Cardiac action potentials, potassium currents, hERG channels, repolarization, Long QT syndrome, inherited variants, drug effects, arrhythmia risk, cellular models, and electrophysiology connect molecular change to function. Clinical risk requires multiple levels of evidence.
An ecological interface describes relationships among organisms and environments, an image boundary belongs to a representation of biological structure, and a membrane interface is a physical cellular structure. Scale, abstraction, measurement, models, causal inference, representation, and uncertainty limit extrapolation from one layer of evidence.
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ABOUT BETWEEN LAYERS
Between Layers is an independent educational prototype connecting community ecology, biomedical imaging, and cellular physiology.
It does not suggest that ecological communities, image-analysis boundaries, and membrane ion channels are equivalent biological phenomena.
Instead, it compares a shared research challenge: identifying interfaces, measuring structure and interaction, and deciding how evidence changes when researchers move between scales.
It is not a university, research institute, hospital, medical company, environmental organization, imaging company, pharmaceutical company, laboratory, professional association, or commercial service.
Biological systems often depend on relationships across physical, ecological, or analytical boundaries.
Biomedical images make structures visible, but the representation does not contain every property of the underlying biology.
A local interaction, image measurement, or cellular current may be important without being sufficient to explain the entire system.
CHANGE THE VIEW
Browse study sheets, compare interfaces, and examine how ecological interactions, biomedical representations, and cellular currents require different kinds of evidence.