scholarly journals FlopR: An Open Source Software Package for Calibration and Normalization of Plate Reader and Flow Cytometry Data

2020 ◽  
Vol 9 (9) ◽  
pp. 2258-2266
Author(s):  
Alex J. H. Fedorec ◽  
Clare M. Robinson ◽  
Ke Yan Wen ◽  
Chris P. Barnes
Keyword(s):  
Flow Cytometry ◽  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Flow Cytometry Data ◽  
Plate Reader ◽  
Open Source Software Package

scholarly journals FlowScatt: enabling volume-independent flow cytometry data by decoupling fluorescence from scattering

2020 ◽  
Author(s):  
Ruud Stoof ◽  
Lewis Grozinger ◽  
Huseyin Tas ◽  
Ángel Goñi-Moreno
Keyword(s):  
Experimental Data ◽  
Flow Cytometry ◽  
Single Cell ◽  
Cell Volume ◽  
Open Source Software ◽  
Software Package ◽  
Flow Cytometry Data ◽  
Open Source Software Package ◽  
The Impact ◽  
Python Package

AbstractMotivationMeasuring fluorescence by flow cytometry is fundamental for characterising single-cell performance. While it is known that fluorescence and scattering values tend to positively correlate, the impact of cell volume on fluorescence is typically overlooked. This makes of fluorescence values alone an inaccurate measurement for high-precision characterisations.ResultsWe developed FlowScatt, an open-source software package that removes volume-dependency in the fluorescence channel. Using FlowScatt, flourescence values are re-calculated based on the unified volume per cell that arises from scattering decomposition.AvailabilityFlowScatt is openly available as a Python package on https://github.com/rstoof/FlowScatt. Experimental data for validation is available [email protected]

scholarly journals Integration of enabling methods for the automated flow preparation of piperazine-2-carboxamide

2014 ◽  
Vol 10 ◽  
pp. 641-652 ◽  
Author(s):  
Richard J Ingham ◽  
Claudio Battilocchio ◽  
Joel M Hawkins ◽  
Steven V Ley
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Flow Chemistry ◽  
Raspberry Pi ◽  
Step Flow ◽  
Simultaneous Control ◽  
Open Source Software Package

Here we describe the use of a new open-source software package and a Raspberry Pi® computer for the simultaneous control of multiple flow chemistry devices and its application to a machine-assisted, multi-step flow preparation of pyrazine-2-carboxamide – a component of Rifater®, used in the treatment of tuberculosis – and its reduced derivative piperazine-2-carboxamide.

scholarly journals An open source software package for primality testing of numbers of the form p2^n+1, with no constraints on the relative sizes of p and 2^n

2018 ◽  
Author(s):  
Tejas R. Rao
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Primality Testing ◽  
Fermat Number ◽  
Open Source Software Package ◽  
Sierpinski Numbers ◽  
Efficient Software

We develop an efficient software package to test for the primality of p2^n+1, p prime and p>2^n. This aids in the determination of large, non-Sierpinski numbers p, for prime p, and in cryptography. It furthermore uniquely allows for the computation of the smallest n such that p2^n+1 is prime when p is large. We compute primes of this form for the first one million primes p and find four primes of the form above 1000 digits. The software may also be used to test whether p2^n+1 divides a generalized fermat number base 3.

scholarly journals Development and Evaluation of an Open-Source Software Package “CGITA” for Quantifying Tumor Heterogeneity with Molecular Images

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yu-Hua Dean Fang ◽  
Chien-Yu Lin ◽  
Meng-Jung Shih ◽  
Hung-Ming Wang ◽  
Tsung-Ying Ho ◽  
...  
Keyword(s):  
Open Source ◽  
Texture Analysis ◽  
Open Source Software ◽  
Software Package ◽  
Tumor Heterogeneity ◽  
Locally Advanced ◽  
Image Texture ◽  
Pixel Intensity ◽  
Open Source Software Package ◽  
Molecular Images

Background. The quantification of tumor heterogeneity with molecular images, by analyzing the local or global variation in the spatial arrangements of pixel intensity with texture analysis, possesses a great clinical potential for treatment planning and prognosis. To address the lack of available software for computing the tumor heterogeneity on the public domain, we develop a software package, namely, Chang-Gung Image Texture Analysis (CGITA) toolbox, and provide it to the research community as a free, open-source project.Methods. With a user-friendly graphical interface, CGITA provides users with an easy way to compute more than seventy heterogeneity indices. To test and demonstrate the usefulness of CGITA, we used a small cohort of eighteen locally advanced oral cavity (ORC) cancer patients treated with definitive radiotherapies.Results. In our case study of ORC data, we found that more than ten of the current implemented heterogeneity indices outperformed SUVmeanfor outcome prediction in the ROC analysis with a higher area under curve (AUC). Heterogeneity indices provide a better area under the curve up to 0.9 than the SUVmeanand TLG (0.6 and 0.52, resp.).Conclusions. CGITA is a free and open-source software package to quantify tumor heterogeneity from molecular images. CGITA is available for free for academic use athttp://code.google.com/p/cgita.

scholarly journals FlowCal: A User-Friendly, Open Source Software Tool for Automatically Converting Flow Cytometry Data from Arbitrary to Calibrated Units

2016 ◽  
Vol 5 (7) ◽  
pp. 774-780 ◽  
Author(s):  
Sebastian M. Castillo-Hair ◽  
John T. Sexton ◽  
Brian P. Landry ◽  
Evan J. Olson ◽  
Oleg A. Igoshin ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Open Source ◽  
Open Source Software ◽  
Software Tool ◽  
Flow Cytometry Data ◽  
User Friendly

scholarly journals Electron Microscopy (Big and Small) Data Analysis With the Open Source Software Package HyperSpy

2017 ◽  
Vol 23 (S1) ◽  
pp. 214-215 ◽  
Author(s):  
Francisco de la Pena ◽  
Tomas Ostasevicius ◽  
Vidar Tonaas Fauske ◽  
Pierre Burdet ◽  
Petras Jokubauskas ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Data Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Small Data ◽  
Open Source Software Package

An enhanced version of SMMP—open-source software package for simulation of proteins

2006 ◽  
Vol 174 (5) ◽  
pp. 422-429 ◽  
Author(s):  
Frank Eisenmenger ◽  
Ulrich H.E. Hansmann ◽  
Shura Hayryan ◽  
Chin-Kun Hu
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Package ◽  
Open Source Software Package
Sign in / Sign up

Export Citation Format

Share Document