References and supplemental material for for projects involving programming of a microfluidics array
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Updated
Nov 25, 2019 - SystemVerilog
References and supplemental material for for projects involving programming of a microfluidics array
Insincere System design about building intelligence, based on neural fluid model. Still a draft and I'm gathering resources and design ideas. Modern AI is a fancy calculator. It cannot be a creator/creation. It cannot be a simulacra/simulation.
SeeVIS is a (S)egmentation-fr(ee) (VIS)ualization pipeline for time-lapse image data. It comprises three steps: 1. preprocessing, 2. feature extraction, and 3. an extended version of the space time cube with three novel color mappings adapted to cell colony growth.
Enzyme kinetic assays in the Fluidigm Biomark HD instrument
A more modular Fluigi Codebase
Python code used in: Link A, Luna Pardo I, Porr B, Franke T (2023) AI based image analysis of red blood cells in oscillating microchannels. RSC Advances 41.
This directory is dedicated to the implementation of algorithms aimed at detecting droplets in microfluidic images.
microfluidic image stack processing - boxdetection function, detects rectangular growth structures
Flexible processing and analysis of plug microfluidics data
Strobe-Enhanced Microscopy Stage
Python 2.7 microfluidics automation system (pumps and Arduino controlled coplanar electrodes)
Nonlinear diffusion problems in Julia
Designs used in the 3DuF paper
Replication of van Steijn V. et al., Predictive model for the size of bubbles and droplets created in microfluidic T-junctions
A capstone project at UBC for automating drug injection into microfluidic devices. The automation included using linear actuators and automatic syringe pump to program experiments that required manual pipetting.
Parameter estimation of seeding and contamination rates on a triangular lattice using the method of simulated moments (MSM).
Nanofabricated Omni Sensing Edge ... #LabOnChip and #microfluidics ... IoT sensors using trained AI/ML models to bring the lab to the sampled #InVivo life for #PointOfCare health optimization
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