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/PMC3965399 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0092108 | PLOS |
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 PDFInt 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.
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 PDFJ 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 PDFOrthop J Sports Med
January 2025
Rothman Orthopaedic Institute, Philadelphia, Pennsylvania, USA.
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.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!