Data Integrity can be expressed as the consistency and trustworthiness of data over the course of its lifecycle. The status of your data, or the process of guaranteeing the quality and validity...[Read More]

What is data integrity?
Data Quality versus Data Integrity. Data Quality refers to the traits that determine the ability of information to suit an intended function, such as planning, decision making, and operations... [Read More]

The life sciences industry is rapidly changing and always seeking to research and innovate in the most efficient and accurate way possible. The development of digital technologies opened the door to a world of possibilities for many scientific industries, especially those that are data-driven and rely on... [Read More]

Veteran laboratory automation/computing professional Joe Liscouski is at it again, this time releasing a perspective piece that takes elements from more than 15 years of writing and presentation, painting a nuanced approach to planning for the use of computer systems in the laboratory. In particular, this November 2021 work continues to expand on the importance of laboratory systems engineering in the laboratory of the future. After providing a full introduction, Liscouski examines both the past and present of laboratory computing and how the automation aspects of that computing affects laboratory personnel. He then goes on to espouse the benefits of a more industry-wide approach to addressing the technological and educational needs of laboratories of all types, particularly in regard to how standardization plays an important role. He then addresses laboratory work itself, how automation can move that work forward, and how to effectively apply that automation to the laboratory. Finally, Liscouski closes by emphasizing the importance of a "center for laboratory systems engineering" to help centralize the efforts mentioned in the guide. A sizeable appendix is included, providing more historical perspective to the work and its conclusions.

In this 2021 paper published in Frontiers in Plant Science, Feder et al. present the analytical results of Cannabis inflorescences that have been pollinated and fertilized, in an attempt to show that fertilization can affect phytocannabinoid accumulation, among other goals. Noting that growers have recently shifted to using seeds, which can despite feminization reveal to be male seeds five to ten percent of the time, the authors note that this type of research—rarely conducted—is particularly critical to answering questions about how pollination effects phytocannabinoid and terpenoid expression. After providing background information and reviewing materials and methods for their analyses, the authors discuss the results, noting in particular that "phytocannabinoid quantity predominately decreases after fertilization," terpenoid quantity can vary based upon the type of female plant, and that "individual terpenoid concentrations are differentially affected by fertilization." After further discussion, they conclude not only the three prior-mentioned findings, but they also by extension suggest that their findings indicate the "functional roles" of phytocannabinoids and terpenoids in Cannabis's plant life cycle.