A5084437660- Neural dynamics and brain function
- Retinal Development and Disorders
- 3D Shape Modeling and Analysis
- Image Retrieval and Classification Techniques
- Plant nutrient uptake and metabolism
- Neurobiology and Insect Physiology Research
- Rice Cultivation and Yield Improvement
- Visual perception and processing mechanisms
- Photoreceptor and optogenetics research
- Digital Image Processing Techniques
- Graph Theory and Algorithms
- Plant Molecular Biology Research
- Plant and Biological Electrophysiology Studies
- Image Processing and 3D Reconstruction
- Topological and Geometric Data Analysis
- Computer Graphics and Visualization Techniques
- Zebrafish Biomedical Research Applications
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Gene expression and cancer classification
- Leaf Properties and Growth Measurement
- Advanced Image and Video Retrieval Techniques
- Neurogenesis and neuroplasticity mechanisms
- Advanced Vision and Imaging
- Remote Sensing and LiDAR Applications
Institute of Science and Technology Austria
2012-2025
Georgia Institute of Technology
2010
Center for Systems Biology
2010
Duke University
2010
Fondazione GraphiTech
2008
Abstract The ability to nondestructively image and automatically phenotype complex root systems, like those of rice (Oryza sativa), is fundamental identifying genes underlying system architecture (RSA). Although systems are central plant fitness, responsible for RSA remains an underexplored opportunity crop improvement. Here we describe a nondestructive imaging analysis automated phenotyping trait ranking RSA. Using this system, roots from 12 genotypes. We estimate traits previously...
Abstract Background Characterizing root system architecture (RSA) is essential to understanding the development and function of vascular plants. Identifying RSA-associated genes also represents an underexplored opportunity for crop improvement. Software tools are needed accelerate pace at which quantitative traits RSA estimated from images networks. Results We have developed GiA Roots (General Image Analysis Roots), a semi-automated software tool designed specifically high-throughput...
Significance Improving the efficiency of root systems should result in crop varieties with better yields, requiring fewer chemical inputs, and that can grow harsher environments. Little is known about genetic factors condition growth because roots’ complex shapes, opacity soil, environmental influences. We designed a 3D imaging analysis platform used it to identify regions rice genome control several different aspects system growth. The results this study inform future efforts enhance...
Abstract Interest in the structure and function of physical biological networks has spurred development a number theoretical models that predict optimal network structures across broad array taxonomic groups, from mammals to plants. In many cases, direct tests predicted are impossible given lack suitable empirical methods quantify geometry with sufficient scope resolution. There is long history plants, roots, xylem shoots within leaves. However, few exceptions, current emphasize analysis...
Abstract Statistics of natural scenes are not uniform—their structure varies dramatically from ground to sky. It remains unknown whether these nonuniformities reflected in the large-scale organization early visual system and what benefits such adaptations would confer. Here, by relying on efficient coding hypothesis, we predict that changes receptive fields across space increase efficiency sensory coding. Using mouse ( Mus musculus ) as a model species, show retinal ganglion cells change...
We present a software platform for reconstructing and analyzing the growth of plant root system from time-series 3D voxelized shapes. It aligns shapes with each other, constructs geometric graph representation together function that records time growth, organizes branches into hierarchy reflects order creation. The includes automatic computation structural dynamic traits in enabling quantification on fine-scale. These are important advances phenotyping applications to study genetic...
Abstract Animals utilize visual motion cues to maintain stability and navigate accurately. The optomotor response, a reflexive behavior for stabilization, has been used study this visuomotor transformation. However, there is disparity between the simplicity of intricate circuit components believed govern it. Here we bridge divide by exploring course control repertoire in Drosophila establishing direct link underlying motifs. Specifically, demonstrate that information from both eyes plays...
Despite the diverse genetic origins of autism spectrum disorders (ASDs), affected individuals share strikingly similar and correlated behavioural traits that include perceptual sensory processing challenges. Notably, severity these symptoms is often predictive expression other autistic traits. However, origin deficits remains largely elusive. Here, we show a recurrent impairment in visual threat perception similarly impaired 3 independent mouse models ASD with different molecular...
In order to enjoy a digital version of the Jordan Curve Theorem, it is common use closed topology for foreground and open background 2-dimensional binary image. this paper, we introduce single that enjoys theorem all thresholds decomposing real-valued image into background. This easy construct generalizes n-dimensional images.
Abstract Statistics of natural scenes are not uniform - their structure varies dramatically from ground to sky. It remains unknown whether these non-uniformities reflected in the large-scale organization early visual system and what benefits such adaptations would confer. Here, by relying on efficient coding hypothesis, we predict that changes receptive fields across space increase efficiency sensory coding. We show experimentally that, agreement with our predictions, retinal ganglion cells...
Abstract Despite the diverse genetic origins of autism spectrum disorders (ASDs), affected individuals share strikingly similar and correlated behavioural traits that include perceptual sensory processing challenges. Notably, severity these symptoms is often predictive expression other autistic traits. However, origin deficits remains largely elusive. Here, we show a recurrent impairment in visual threat perception similarly impaired three independent models ASD with different molecular...
Abstract Animals rely on compensatory actions to maintain stability and navigate their environment efficiently. These depend global visual motion cues known as optic-flow. While the optomotor response has been traditional focus for studying optic-flow compensation in insects, its simplicity insufficient determine role of intricate processing network involved course control. Here, we reveal a series control behaviours Drosophila link them specific neural circuits. We show that bilateral...
In this work we propose a scheme for analysis of the shape 3D model. We use Extended Reeb Graph to describe topological structure model which further enrich with extracted geometrical features. The nodes graph represent different components model, and analyze their separately. Shape characteristics such as taper/enlargement, average curvature, bending are revealed through tracing changes in cross sections each component. Finally together associated represents descriptor
SUMMARY Distinguishing between sensory experiences elicited by external stimuli and an animal’s own actions is critical for accurate perception motor control. However, the diversity of behaviors their complex influences on senses make this distinction challenging. Here, we uncover action cue hub that coordinates both visual processing in brain’s first relay commands. We show ventral lateral geniculate nucleus (vLGN) acts as a corollary discharge (CD) center, integrating translational optic...