Usage Information
Abstract
At-home blood collection devices (ABCDs) can facilitate study participation for remote and rural cohorts. Previous studies used ABCDs to interrogate samples by proteomics and sequencing approaches. We wanted to address the question of whether this approach could be used to assess live immune cells with high-parameter flow cytometry to enable remote immune monitoring. We first compared blood from standard venipuncture with ABCD blood draws, followed by assessment of the impact of sample shipping on immune cell viability and phenotyping. We found that capillary blood collected with a Tasso+ device and concurrently drawn venipuncture blood samples had highly congruent immune cell composition and phenotype. Shipment of Tasso+ samples via the United States Postal Service altered the myeloid compartment, but T cell numbers, subsets, and phenotypes remained remarkably stable compared with non-shipped samples. Finally, we describe a flow cytometry analysis framework that allowed for direct sample comparison even when samples were stained and analyzed over a time period of 1.5 years. Overall, our data highlight the feasibility of using ABCDs combined with subsequent flow cytometry analysis for remote immune monitoring. Additionally, our study also identifies areas that could be improved to further promote the use of ABCDs for immune monitoring.
Authors
Andrew J. Konecny, Fang Yun Lim, Eva Domenjo-Vila, Erika Lovas, Rachel L. Blazevic, Louise E. Kimball, Michael Boeckh, Alpana Waghmare, Martin Prlic
Usage data is cumulative from April 2026 through May 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 1,432 | 0 |
| 261 | 0 | |
| Figure | 600 | 0 |
| Supplemental data | 135 | 0 |
| Citation downloads | 98 | 0 |
| Totals | 2,526 | 0 |
| Total Views | 2,526 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
