23 skills found
pvjosue / LFMNetDeep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.
KeckCAVES / 3DVisualizerHighly interactive application for visualization and analysis of 3D multivariate gridded data, such as produced by finite element method (FEM) simulations, confocal microscopy, serial sectioning, computerized axial tomography (CAT) scans, or magnetic resonance imaging (MRI) scans
JaneliaSciComp / WorkstationJanelia Workstation
WeisongZhao / AdaptiveOptics.simulationSimulation for sensorless adaptive optics (Confocal microscopy, Modal method)
Guaishou74851 / DCCM(Nature Communications Engineering 2024) Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratios [PyTorch]
sbelharbi / Sr Caco 2SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution
coraxx / 3DCTThis Toolbox is build for 3D correlative microscopy. It helps with 3D to 2D correlation of three dimensional confocal image stacks to two dimensional SEM/FIB dual beam microscope images.
pmascalchi / ImageJ Export LIF As Individual ImagesImageJ / Fiji macro to automatically export Leica LIF file as individual images (batch mode available)
Chauncey-Leung / MC ISMThe reconstruction program for Multi-Confocal Image Scanning Microscopy
melchisedech333 / Laser Scanning Microscopy🧪 Reproducing the concept of Confocal Laser Scanning Microscope. Using Arduino and easily found materials. Generating images in Grayscale just for fun.
WKLabION / Confocal Light Field MicroscopyNo description available
CreLox / FluorescenceLifetimeA MATLAB data analysis toolkit for Fluorescence Lifetime Imaging Microscopy (FLIM) and an Alba v5 time-resolved confocal microscope operations manual
merrygoat / DDMDifferential Difference Microscopy for confocal images
CardiAP / CardiApPython Server for performing biomedical images analysis
dgrechka / ProteinAtlasScreenSaverShows immunofluorescence confocal microscopy images from Human Protein Atlas project
qt3uw / Qt3 UtilsData Acquisition for Confocal Microscope and Spin Control Experiments
lauraluebbert / Confocal Z Stack AnalysisImaging experiments in Biology often involve the acquisition of confocal z-stack images to quantify fluorescent signal in a biological sample. These z-stacks are usually analyzed using open-source programs such as FIJI, which are notoriously frustrating to work with, and do not facility intuitive high-throughput analysis of many images at once. Manual image analysis is labor-intensive, time-consuming, and prone to human error. I compiled two notebooks to streamline two of the most commonly performed tasks in the analysis of confocal z-stack images: the generation of "pretty" maximum projections, and the analysis of pixel values/ fluorescence from sum projections.
kgh-85 / CytoShapeNetcytoShapeNet is a dual-stage neural network architecture to automatically recognize 3D shapes. We optimized the toolbox to convert 3D images of red blood cells obtained from confocal microscopy. The resulting tif stacks are first converted into OBJ and PLY 3D files, then post-processed using a rotation invariant shape descriptor serving as input format for our neural networks.
Tarang74 / OsteonXA Python library for osteocyte network analysis using confocal laser scanning microscopy data segmented with the Tool for Image and Network Analysis (TINA), providing lamellar surface reconstruction and temporal quantification of cellular and dendritic densities via interpolated 3D Euclidean distance transforms (MLAEDT-3D).
Russel88 / RCon3D3D Analysis of confocal images of microbial biofilms/communities
