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3D Particle Tracking Velocimetry software is now called OpenPTV see http://www.openptv.net
4D cell nuclear tracking and cell dynamics analysis - a training course
Master thesis
MATLAB GUI developed for tracking cells in 4D using live imaging data
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
Dense Deep Depth Estimation Network (D3-Net) in PyTorch.
Simulation to quantify the accuracy of single molecule orientation measurements by defocused wide-field microscopy
LBP-based segmentation of defocus blur
This is an example of the implementation of the control-oriented model for dielectrophoretical force and torque for arbitrarily shaped objects polarized by an arbitrary electric field.
This is a Matlab implementation of Depth from Defocus using your mobile phone. In addition I use a number of techniques such as graph cuts and matting laplacian to improve the results
Conventional Depth from Focus(DfF) estimation with slight focus variations in image sequences
Interpolated depth from defocus using graph cut optimization
Relative blur based Depth from Defocus (DFD)
[CVPR2019] Official TensorFlow Implementation for "Deep Defocus Map Estimation using Domain Adaptation"
Fast Defocus Map Estimation
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
An application in MATLAB used for tracking particles
MATLAB implementation of depth from defocus algorithm for misaligned photos
particle tracking and microrheology toolkit
personal webpage!
#2019 CVPR workshop published paper. Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps. 3D fluorescence microscopy of living organisms has increasingly become an essential and powerful tool in biomedical research and diagnosis. An exploding amount of imaging data has been collected, whereas efficient and effective computational tools to extract information from them are still lagging behind. This is largely due to the challenges in analyzing biological data. Interesting biological structures are not only small, but are often morphologically irregular and highly dynamic. Although tracking cells in live organisms has been studied for years, existing tracking methods for cells are not effective in tracking subcellular structures, such as protein complexes, which feature in continuous morphological changes including split and merge, in addition to fast migration and complex motion. In this paper, we first define the problem of multi-object portion tracking to model the protein object tracking process. A multi-object tracking method with portion matching is proposed based on 3D segmentation results. The proposed method distills deep feature maps from deep networks, then recognizes and matches objects’ portions using an extended search. Experimental results confirm that the proposed method achieves 2.96% higher on consistent tracking accuracy and 35.48% higher on event identification accuracy than the state-of-art methods
A minimal Jekyll Theme to host your resume (CV)
Code that'll help you kickstart a personal website that showcases your work as a software developer.
Resources for the book "Programming for Computations" by S. Linge and H. P. Langtangen
This is the repository for a Python bioimage analysis course which establishes the fundamentals of image analysis in the context of biological imaging.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Scipy Cookbook
Fiji macro for cutting confocal stacks at various depths relative to surface signal
TIE Phase imaging from defocus stack by Gaussian process regression
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.