This training course will explore the translation of science and nascent engineering programs into a well-structured product development program to address Reduction to Practice or proof of concept; Human factors engineering - what is it and why it matters; Design Control and Risk Control Roadmap for Development; Design for Manufacture and Assembly; Scale -up progression and manufacturing methods.

**A Must-Attend for Companies Embarking on Microfluidic Product Development**

We have developed a multi-parametric high-throughput flow-based method for the analysis of individual extracelluar vesicles and particles (EVPs), and a super-resolution method for sizing individual EVPs in a high-throughput fashion. EVPs are highly heterogeneous and comprise a diverse set of surface protein markers as well as intra-vesicular cargoes. Yet, current approaches to the study of EVPs lack the necessary sensitivity and precision to fully characterize and understand the make-up and the distribution of various EV subpopulations that may be present. Digital flow cytometry (dFC) provides single-fluorophore sensitivity and enables multiparameter characterization of EVPs, including sin-gle-EVP phenotyping, the absolute quantitation of EVP concentrations, and biomarker copy numbers. dFC has a broad range of applications, from analysis of single EVPs such as exosomes or RNA-binding proteins to characterization of therapeutic lipid nano-particles, viruses, and proteins. dFC also provides absolute quantita-tion of non-EVP samples such as dyes, beads, and Ab-dye conjugates.

Single cell analysis is playing an important role in biological and medical research. Flow cytometers and fluorescence-activated cell sorters (FACS) are workhorse for single cell analysis, offering high throughput and the ability of isolating cells of high interest, especially those rare cells or new cell types. On the other hand, microscopy, especially 3D microscopy, can produce high information contents, revealing important insight in cell phenotypes and high spatial information although cell isolation in a microscope platform with techniques such as laser microdissection is cumbersome and subject to cell damage. We present results of image-guided cell sorters that possess the merits of high throughput and high content imaging in a single system. The image-guided FACS system uses a microfluidic cartridge with an on-chip piezoelectric actuator to sort cells of interest into tubes or 384-well plates. The cell sorting criteria is based on the 2D images of cells, defined by either operator specified gating criteria or AI with or without human instructions. Going beyond the systems with 2D images, we further demonstrate flow cytometers that produce 3D fluorescent, scattering, and transmission images of each single cell at a throughput of 1000 cells/s, which is 1000-10,000 times faster than a fluorescent confocal microscope. The cell tomography offers far more information than 2D images and is more adaptive to AI and machine learning. Both the 2D and 3D image-guided cell analyzers and sorters are powered by artificial intelligence with convolutional neural networks. With AI capabilities based on semi-supervised learning, both systems have shown exceptional capabilities for classification and cell type discovery. Results from several experiments, including the diagnosis of leukemia and NASH diseases, DNA damage assessment, protein translocations under drug treatments, cell cycle detection, and cell fate prediction (the so-called Day Zero experiment) will be discussed in the presentation.

NIST has developed a serial microfluidic cytometer that repeats the interrogation of objects at multiple points along a flow path, which enables direct assessment of uncertainty in cytometry measurements (DiSalvo et al., Lab Chip 2022). We have achieved per-particle measurement variation below 2 % at throughputs above 100 s-1 and detection limits and dynamic range comparable to conventional cytometers. This presentation will introduce various measurement capabilities novel to our serial cytometry, including 1) uncertainty quantification, 2) signals analysis that permit estimation of velocity, size, and shape of samples, including elastically deformable particles and mitotic cells, and 3) tracking dynamics of individual objects over time. Utilizing microdroplets, we demonstrated temporal tracking of an enzymatic reaction on a per-droplet basis in real time. An upstream fluidic mixing system is also used to create known concentrations and dilutions of fluorophores in droplets, which permits direct calibration of measured fluorescence intensity to fluorophores in solution.

In this talk, I will provide background on utilizing hydrogel microparticles in conjunction with flow cytometers to screen and isolate individual cells based on their functional properties, such as secretion. I will also expand on how this capability is being leveraged to accelerate antibody discovery workflows by screening antibody secreting cells directly based on antibody function (e.g. specificity, affinity, cell binding).

Nanoparticle Tracking Analysis (NTA) has emerged as a fast and vital characterization technology for Extracellular Vesicles (EVs), Exosomes and other biological material in the size range from 30 nm to 1 μm. While classic NTA scatter operation feeds back the size and total particle concentration, the user typically cannot discriminate whether the particle is a vesicle, protein aggregate, cellular trash or an inorganic precipitate. The fluorescence detection capabilities of f-NTA however enables the user to gain specific biochemical information for phenotyping of all kinds of vesicles and viruses. Alignment-free switching between excitation wavelengths and measurement modes (scatter and fluorescence) allow quantification of biomarker ratios such as the tetraspanins (CD63, CD81 and CD9) within minutes. Furthermore, specific co-localization studies using c-NTA gives a deeper understanding of the composition of biomarker on single particle.

This presentation will explore the characterization of extracellular vesicles (EVs) using the ONI Nanoimager's super-resolution capabilities. Key topics include the importance of EVs in biological research, the advanced imaging techniques of the ONI Nanoimager, and practical applications for detailed EV analysis. Attendees will learn how super-resolution microscopy can provide deeper insights into EV biology.

Spectradyne’s ARC particle analyzer measures EV size, concentration & phenotype down to 50 nm diameter. In this presentation, we will demonstrate the ARC’s ability to accurately quantify EV subpopulations directly in serum, without SEC or other significant sample prep. The ARC particle analyzer is uniquely well suited to analyzing complex, heterogeneous samples. Fast and easy to use-no calibration, alignment, or cleaning required-the ARC is rapidly being adopted in EV applications for its accurate and direct measurements of particle size, concentration, and phenotype at the nanoscale.

Extracellular vesicles (EVs) are involved in diverse physiological and pathological processes and have attracted attention as potential therapeutics. Sources of potential therapeutic EV preparations include EVs from native or engineered cells in culture or from biofluids, and this source material might be fractionated to enrich EVs relative to other biofluids, and the resulting enriched EVs may be further modified, for example by loading with cargo or surface functionalization with a target molecule. In all cases the functional activities of the resulting EV preparations are presumed to stem from the individual EVs, and their molecular cargo, present with thin the preparation, but direct measurements of these EVs can be challenging. Single EV analysis methods, including single vesicle flow cytometry, can provide measurements of EV concentrations and cargo with the molecular resolution and analytical rigor to support therapeutic EV development and application. In this presentation I’ll review the state of the science of single EV measurement, applications in EV production and manufacturing, and highlight outstanding challenges for the field.

Diagnosing neurocognitive disorders has been challenging and doing so without invasive and expensive procedures even more difficult. My lab has been interested in diagnosing chronic cognitive impairment in HIV infection and more recently longCOVID using neuronal-derived exosomes. The goal is to identify liquid biomarkers associated with cognitive impairment and follow these during and after treatment. In addition, studies may identify common and distinct processes in neurodegeneration that may help in drug interventions. Alternatively, exosomes can be used as therapeutic delivery vehicles. Implementing these strategies in the clinical laboratory is the goal and still a challenge.

Liquid biopsies are minimally invasive tests that can be performed frequently, providing “real-time” information on disease status to improve patient outcome. Analyzing different biomarkers present in liquid biopsies, including circulating tumor cells (CTCs), cell-free DNA (cfDNA), and extracellular vesicles (EVs), requires enrichment to select the low abundant disease-associated markers from clinical samples. The LBC provides a diverse range of technologies that are directed at both enriching liquid biopsy markers and their downstream molecular analysis. The LBC uses a combination of microfluidics with full process automation for enriching the full complement of liquid biopsy markers with exquisite analytical figures-of-merit. As examples of utility of LBC technologies, we will present clinical data on identifying the molecular subtypes of breast cancer using EV’s mRNA and monitoring response to therapy in pancreatic cancer via CTCs.