Open source software to control Bioflo bioreactors.

PLoS One

Biotechnology Institute, University of Minnesota, Saint Paul, Minnesota, United States of America; Department of Plant Biology, University of Minnesota, Saint Paul, Minnesota, United States of America.

Published: January 2015

Bioreactors are designed to support highly controlled environments for growth of tissues, cell cultures or microbial cultures. A variety of bioreactors are commercially available, often including sophisticated software to enhance the functionality of the bioreactor. However, experiments that the bioreactor hardware can support, but that were not envisioned during the software design cannot be performed without developing custom software. In addition, support for third party or custom designed auxiliary hardware is often sparse or absent. This work presents flexible open source freeware for the control of bioreactors of the Bioflo product family. The functionality of the software includes setpoint control, data logging, and protocol execution. Auxiliary hardware can be easily integrated and controlled through an integrated plugin interface without altering existing software. Simple experimental protocols can be entered as a CSV scripting file, and a Python-based protocol execution model is included for more demanding conditional experimental control. The software was designed to be a more flexible and free open source alternative to the commercially available solution. The source code and various auxiliary hardware plugins are publicly available for download from https://github.com/LibourelLab/BiofloSoftware. In addition to the source code, the software was compiled and packaged as a self-installing file for 32 and 64 bit windows operating systems. The compiled software will be able to control a Bioflo system, and will not require the installation of LabVIEW.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965399PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0092108PLOS

Publication Analysis

Top Keywords

open source
12
auxiliary hardware
12
software
9
control bioflo
8
protocol execution
8
source code
8
control
5
source software
4
software control
4
bioreactors
4

Similar Publications

Flexible and modular latent transition analysis-A tutorial using R.

PLoS One

January 2025

National Institute of Public Health, University of Southern Denmark, Copenhagen K, Denmark.

Latent transition analysis (LTA) is a useful statistical modelling approach for describe transitions between latent classes over time. LTA may be characterized in terms of prevalence at each time point and through transition probabilities over time. Investigating predictors of these transitions is often of key interest.

View Article and Find Full Text PDF

The risks of pityriasis rosea in pregnancy: a review.

Int J Womens Dermatol

March 2025

The Ronald O. Perelman Department of Dermatology, New York University Grossman School of Medicine, New York City, New York.

Objective: This review aims to consolidate available evidence, identify research gaps, and advocate for a more informed approach to the management of pityriasis rosea in pregnant individuals.

Data Sources: PubMed, Web of Science, and Directory of Open Access Journals were systematically searched based on the keywords "pityriasis rosea," "pityriasis circinate," "roseola annulate," "herpes tonsurans maculosus," "herald patch," and "pregnancy" on January 25, 2024 for publications between 1950 to 2024.

Study Selection: Studies containing outcomes data for pregnant patients with established PR were included.

View Article and Find Full Text PDF

Computed tomography dataset virtual dissection for sternal re-entry in congenital cardiac surgery.

Indian J Thorac Cardiovasc Surg

February 2025

Department of Paediatric and Congenital Heart Surgery, Kokilaben Dhirubhai Ambani Hospital and Medical Research Institute, Rao Saheb, Achutrao Patwardhan Marg, Four Bungalows, Andheri West, Mumbai, Maharashtra 400053 India.

Unlabelled: In congenital heart surgery, redo-sternotomies are very common. In most cases, sternal re-entry is achieved without serious complications. However, sometimes elective institution of peripheral cardiopulmonary bypass is needed for safe sternotomy, albeit with a long cardio-pulmonary bypass time.

View Article and Find Full Text PDF

Graph Neural Networks-Based Prediction of Drug Gene Interactions of RTK-VEGF4 Receptor Family in Periodontal Regeneration.

J Clin Exp Dent

December 2024

DDS. Titular Professor. Universidad de Antioquia U de A, Medellín, Colombia. Biomedical Stomatology Research Group, Universidad de Antioquia U de A, Medellín, Colombia.

Background: The RTK-VEGF4 receptor family, which includes VEGFR-1, VEGFR-2, and VEGFR-3, plays a crucial role in tissue regeneration by promoting angiogenesis, the formation of new blood vessels, and recruiting stem cells and immune cells. Machine learning, particularly graph neural networks (GNNs), has shown high accuracy in predicting these interactions. This study aims to predict drug-gene interactions of the RTK-VEGF4 receptor family in periodontal regeneration using graph neural networks.

View Article and Find Full Text PDF

Background: Angiotensin-converting enzyme inhibitors (ACEi), angiotensin receptor blockers (ARB), and statins may be able to modulate postoperative stiffness, a major cause of morbidity after arthroscopic rotator cuff repair (aRCR).

Purpose: To determine whether there is an association between ACEi, ARB, or statin usage and stiffness after aRCR.

Study Design: Cohort study; Level of evidence, 3.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!