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ABSTRACT Integrating primary scientific literature into Science, Technology, Engineering, and Mathematics (STEM) curricula enhances critical thinking, scientific literacy, and communication skills but presents challenges due to complex terminology and data interpretation barriers. To address these challenges, a scaffolded journal club approach was implemented in a Cancer Biology course. The course utilized Hypothes.is web-based annotations, methods presentations, figure annotations, and structured discussions to promote active engagement with the literature. Additionally, integrated science communication assignments—including written, graphical, and video abstracts—provided diverse opportunities for students to develop scientific literacy. This structured approach is designed to facilitate comprehension, encourage proactive learning, and foster confidence in engaging with primary scientific literature. Student feedback highlighted improved ability to dissect research articles, enhanced presentation skills, and increased enjoyment of scientific reading. The journal club model and science communication assignments offer a replicable framework for enhancing primary scientific literature engagement across various STEM disciplines and educational levels. 

Undergraduate students often have limited access to industry-focused research opportunities. To address this, faculty and students from 10 primarily undergraduate institutions collaborated with Sampling Human, a biotechnology company, to test a biocytometry workflow for single-cell analysis. The project engaged 15 students with varying levels of research experience and demonstrated that prior research expertise was not essential for successfully using the workflow. Participants followed standardized protocols and generated reproducible data comparable to that of PhD-level scientists. Despite some technical challenges, 91.7% of participants completed the study, showcasing the approachability and reliability of the workflow. This collaboration highlights the potential of industry partnerships to expand research opportunities, enhance academic visibility, and foster academic-corporate co-publications. 

Biomedicine today is experiencing a shift towards decentralized data collection, which promises enhanced reproducibility and collaboration across diverse laboratory environments. This inter-laboratory study evaluates the performance of biocytometry, a method utilizing engineered bioparticles for enumerating cells based on their surface antigen patterns. In centralized and aggregated inter-lab studies, biocytometry demonstrated significant statistical power in discriminating numbers of target cells at varying concentrations as low as 1 cell per 100,000 background cells. User skill levels varied from expert to beginner capturing a range of proficiencies. Measurement was performed in a decentralized environment without any instrument cross-calibration or advanced user training outside of a basic instruction manual. The results affirm biocytometry to be a viable solution for immunophenotyping applications demanding sensitivity as well as scalability and reproducibility and paves the way for decentralized analysis of rare cells in heterogeneous samples. 

Abstract Biomedicine today is experiencing a shift towards decentralized data collection, which promises enhanced reproducibility and collaboration across diverse laboratory environments. This inter-laboratory study evaluates the performance of biocytometry, a method utilizing engineered bioparticles for enumerating cells based on their surface antigen patterns. In a decentralized framework, spanning 78 assays conducted by 30 users across 12 distinct laboratories, biocytometry consistently demonstrated significant statistical power in discriminating numbers of target cells at varying concentrations as low as 1 cell per 100,000 background cells. User skill levels varied from expert to beginner capturing a range of proficiencies. Measurement was performed in a decentralized environment without any instrument cross-calibration or advanced user training outside of a basic instruction manual. The results affirm biocytometry to be a viable solution for immunophenotyping applications demanding sensitivity as well as scalability and reproducibility and paves the way for decentralized analysis of rare cells in heterogeneous samples.