Global analysis platform for fluorescence data

Automated processing of plate reader data: static and time-course measurements. Normalize fluorescence to OD, make plots

Take Olympus vsi stacks. Bleach-correct, write out ome-tiff. Save clicks.

This repository is very specific. It contains a nested dataset of 301 files. Six signals are processed: four uv-vis and a fluorescence signal.

A python code for analyzing photobleaching in fluorescence microscopy from a time series TIF image stack

gateway for segmentation data to Rstats & visualization with ggplot2 - in development

Software and data associated with the article titled, "Binding, Brightness, or Noise? Extracting Temperature-dependent Properties of Dye Bound to DNA," Biophys. J. Accepted, (2023). doi:10.1016/j.bpj.2023.03.002

Tools for analysing fluorescence data using PARAFAC and Machine Learning (ML)

*Expo*/*Data Exporter* can extract measurement data from predefined data sets in order to simplify the subsequent plotting in graphs. Additionally, there is the possibility to normalize the data.

This is an open source program that takes a .opj input and processes that data into various .csv files based on user preferences This program was written in R and used the following packages: (Rcpp) (Ropj) (ggplot2) (shiny)

SUTD 2020 10.007 Modelling the Systems World 1D Project

Consistent with up to date protocols, hs6PROCESS_INTERACTIVE processes raw backscattering data as sampled in natural water bodies using HOBI Labs Hydroscat-6 (hs6). hs6PROCESS_SEABASS should is also designed to be compatible with Hydroscat-4 and 2.

Real-time, interactive exploration of 3D image stacks

Consistent with up to date protocols and NASA's SEABASS submission standards, hs6PROCESS_SEABASS processes raw backscattering data as sampled in natural water bodies using HOBI Labs Hydroscat-6 (hs6). hs6PROCESS_SEABASS should also be compatible with Hydroscat-4 and 2.

Saturation-compensated measurements for fluorescence lifetime imaging microscopy