Tuberculosis@LOG and NPR, Macrophage gene expression time series.
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Updated
Oct 25, 2017 - Python
Tuberculosis@LOG and NPR, Macrophage gene expression time series.
Tool for calculating swelling tablet eroding front's diffusion rate D and the rate of the swelling k from time series of either T2-maps or MRI images in FDF or Text Image format. (Python 3)
A library for interacting with Agilent/HP 6612C DC power supply over RS232 serial port.
RF sweeper with HP8648C and 436A
Spectral Measurements is a matlab based application to interface with Keysight/Agilent Lightwave Measurement Systems. It supports the standard configuration of such systems that uses a variable laser source combined with a optical power sensor to allow carrying spectral sweeps, typical of optical characterization of photonic devices.
Calculating theoretical MRI images with both TI (T1-weighting) and TE (T2-weighting) of choice, from separate T1-weighted and T2-weighted sets of images. (Python 3)
c and matlab routines for reading varian/agilent nmr/mri data files
Controller software for Agilent/HP 6612C DC power supply.
k-space weighting and masking for denoising of MRI image without blurring or losing contrast, as well as for brightening of the objects in the image with simultaneous noise reduction (on the example of Agilent FID data). (Python 3)
Simulating T1- and T2-weighted MRI images with arbitrary values of TI or TE, respectively. (Python 3)
k-space based details/edges detection in MRI images with optional k-space based denoising and detail control (on the example of Agilent FID data). (Python 3)
Simulating T1-weighted saturation recovery MRI images for arbitrary values of TR from a set of T1-weighted inversion recovery MRI images. (Python 3)
A GUI generator for the app of instruments usage summary. Limited to Agilent facilities, e.g., HPLC and GC, with logbook downloadable as a pdf file.
The project enables automating the measurement process with the LCR Agilent E4980 by configuring measurement parameters, sending commands to the device, and processing the measured data, all within the MATLAB environment. The use of modular functions allows for better code organization, facilitating reuse and adaptation to different instrument
A place for notes related to learning Agile Methodologies.
Batch processing and backup tool for GCMS data
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