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/ / MISA++: A standardized interface for automated bioimage analysis

MISA++: A standardized interface for automated bioimage analysis

R. Gerst, A. Medyukhina, M.T. Figge

Image analysis IA-58

28/10/2021 HKI Evaluation

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ASB-82457 A spatio-temporal model for simulating hyphal growth of filamentous fungal species

IA-68 JIPipe: Designing automated image analysis
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IA-62 AMIT: A high performance segmentation and tracking framework for migration and confrontation assays

IA-63 Automatic segmentation and classification of fungal-infected tissue using Deep Learning

IA-61 3D-HyTracer: Quantitative hyphal growth analysis through hyphae-to-graph transormation

IA-66 Machine learning supported image analysis of microfluidic droplets

IA-65 Algorithm for confrontation assay quantification (ACAQ): Label-free image analysis supported by Hessian filtering

IA-64 From raw images to abstract surface models: deconvolution, DeConvTest and DynSPHARM

IA-58 MISA++: A standardized interface for automated bioimage analysis

IA-57 JIPipe: Designing automated image analysis pipelines without programming

M-36 Virtual whole-blood infection assays

IbSB-12 Causal inference analysis of live cell imaged confrontation
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IbSB-10 Research Group Applied Systems Biology

IbSB-9 Leibniz ScienceCampus InfectoOptics - Combating infectious diseases with advanced optical methods

IA-60 Mcat: A toolkit for deep learning-based segmentation and automated analysis of MSOT image data

IA-59 Methods for quantitative analysis of bone degradation and remodeling from μCT images

M-37 Studies on virtual whole-blood infection assays

M-39 Design of an optimal COVID-19 surveillance protocol for child care facilities using an infection spread model

M-35 Comparative simulations of fungal infection dynamics in the human and murine lung

M-38 DynaCoSys: Dynamic model of the complement system to understand pathogen immune evasion

M-34 Hybrid agent-based modeling framework to simulate A. fumigatus infection scenario in the lung

IA-56 JIPipe: Designing automated image analysis pipelines without programming

IbSB-11 Virtual phagocytosis assays reveal strain‐speciﬁc diﬀerences in the microscopic parameters of the interaction between alveolar macrophages and two A. fumigatus strains

IA-54 MSOT cluster analysis toolkit to objectively assess pharmacokinetics and biodistribution of clinical biomarkers

IA-52 MISA++: a standardized interface for automatedhigh-performance big volume image analysis

IA-55 Quantitative image analysis of label-free cells

IbSB-8 Virtual phagocytosis assays reveal strain‐speciﬁc differences in the microscopic parameters of the interaction between alveolar macrophages and two A. fumigatus strains

IA-53 Morphokinetic analysis of live-cell imaging data

M-31 Simulation of virtual phagocytosis assays with alveolar macrophages and Aspergillus fumigatus conidia

M-33 Quantification of the dynamics of fungal confrontation assays

M-32 Quantification of factor H mediated self and non-self discrimination by mathematical modeling

IA-51 Automated Analysis of Fungal-Infected Tissue using Deep Learning

M-30 Verifying Hypotheses on Immune Evasion by Pathogens in Human Whole Blood by State-based Virtual Infection Models

IA-50 DeconvTest: an in silico microscopy framework to evaluate the accuracy of deconvolution

M-28 Quantitative Simulations Predict Treatment Strategies Against Fungal Infections in Virtual Neutropenic Patients Fungal Infections in Virtual Neutropenic Patients

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M-27 Mathematical model of the factor H mediated self and non-self discrimination by the complement system

IbSB-4 Simulation of virtual phagocytosis assays with alveolar marcrophages and Aspergillus fumigatus conidia reveals immune reaction rates

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M-24 Mathematical model of the factor H mediated self and non-self discrimination by the complement system

M-25 Agent-based modeling of early Aspergillus fumigatus infection in mice

IA-33 Fast and efficient fully automated processing of lightsheet microscopy data to evaluate the glomerular number in kidneys

IA-34 Automated image analysis methods for the quantification of cell damage and adherent fungal cells

M-21 Predictive Virtual Infection Modeling of Fungal Immune Evasion in Human Whole Blood

M-26 Agent-based modeling of early Aspergillus fumigatus infection in mice

IA-41 Joint Intravital Microscopy and Imaging: a multi-institute collaborative platform to aid intravital microscopy

IA-36 Cell tracking of Neutrophils in Phagocytosis Assays

IA-35 Image Processing in Droplet Microfluidics

IA-39 Quantitative analysis of intracellular communication from life cell imaging

IA-47 Analysis of Dynamic Properties in Biological Systems from Image Data

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M-15 Predictions of antimicrobial treatment strategies based on in silico experiments of virtual neutropenic patients

IA-27 Morphokinetic analysis of neutrophils from whole-blood infection assays

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M-13 Agent-based modeling of early Aspergillus fumigatus infection in mice

IA-29 Automated Image Analysis of the Interaction between Lichtheimia spp. and Alveolar Macrophages

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M-14 Predictive Virtual Infection Modeling of Pathogenic Immune Evasion in Human Whole-blood

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IA-25 Automated tracking and characterization of cell dynamics for classifier models

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IA-45 Enhanced Detection of Unstained Cells in an Existing Segmentation and Tracking Framework

IA-28 Migration and Interaction Tracking for Quantitative Analysis of Phagocyte‐Pathogen Confrontation Assays

M-17 QUANTIM- Quantification of Innate Immune Function in Whole Blood Infection Assay

IA-26 Automated tracking and characterization of cell dynamics for classifier models

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IA-18 Track-based analysis of cell migration

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M-11 Investigating Candida albicans resistance in whole-blood assays by virtual infection models using parallelized parameter estimation

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IA-24 Striped Illumination Microscopy with an enhanced iterative processing algorithm provides a novel high-resolution deep-tissue imaging technique

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IA-16 Combined [18F]-Fluoride Imaging in Experimental Arthritis

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IA-22 Image Segmentation Methods for the Quantification of C. albicans cells in Fluorescence Images

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M-9 Simulation of Immune Cell Deficiencies in a State-based Virtual Infectin Model of Human Whole-blood Assays for Candida albicans

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M-4 A hybrid agent-based modeling approach of Aspergillus fumigatus infection in the human alveolus

IA-7 Automated Detection of Circulating Tumour Cells

IA-10 Automated Image Analysis of Microfluidic Droplets

IA-8 Automated image analysis of the host-pathogen interaction between immune cells and human-pathogenic fungi

IA-5 Image analysis of immune cell interactions from two-photon microscopy dat

IA-6 In vivo Quantiﬁcation of Arthritis Severity in a Murine Model by µCT Imaging

IA-11 Quantitative image analysis of cell colocalization in murine bone marrow

IA-12 Automated characterization of cell tracks based on local migration behavior

IA-9 Comparative Study of Phagocytosis-assays for Lichtheimia Species by Automated Analysis of Fluorescence Microscopy Images

IA-4 Automated characterization of cell tracks based on local migration behavior

M-3 Virtual infection model of the immune response against Candida albicans in human whole-blood assay

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IA-2 Automated Detection of Circulating Tumour Cells

IA-46 Image Processing in Droplet Microfluidics

M-2 Parameter Estimation by Simulated Annealing for Models of Whole-Blood Infection Assays with Candida Albicans

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IA-1 Single Cell Track Analysis of Two Photon Microscopy on Th17 Cells in the Gut

IA-48 Automated Image Analysis of the Interaction between Phagocytes and Aspergillus fumigatus during infection

IbSB-5 Quantitative description of fungal morphology by automated image analysis

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