The Mixed Population Dilemma: When One Cassette Can't Capture Everything
Moxi V and Moxi GO II use S+ and M+ cassettes. Moxi Z uses S and M cassettes. Same sizing principles, same selection logic — just match the cassette type to your instrument. All recommendations in this guide apply across the Moxi family.
The Physics of Compromise
The Coulter principle creates an inherent trade-off: aperture size optimizes for a specific cell size range. Too small, and large cells clog. Too large, and small cells generate weak signals below detection threshold. When you've got a mixed population, you're forced into compromise with a single cassette.
Neither option captures the full population accurately. The compromise isn't a neutral middle ground - it's systematic error affecting both populations differently. Dual-cassette workflows eliminate this compromise entirely.
TL;DR - Mixed Population Solutions
- Mixed populations spanning the 15μm boundary require dual-cassette workflows
- Run once with S+ or S for small cells, once with M+ or M for large cells
- TIL counting and immune cell killing assays are classic dual-cassette applications
- Report each population from its optimized measurement
- Extra run takes minutes but prevents systematic errors in downstream analysis
Mastering Dual-Cassette Workflows
Learn when and how to run samples twice for accurate counting of both small and large cell populations.
Why No Single Cassette Works Why No Single Cassette Works for Mixed Populations
The Coulter principle creates an inherent trade-off: aperture size optimizes for a specific cell size range. Too small, and large cells clog. Too large, and small cells generate weak signals.
The Compromise Problem
When you've got a mixed population with a small cell type and a large cell type, you're forced into compromise with a single cassette. Either your small cells are poorly resolved (weak signals in M+ cassettes), or your large cells risk clogging (oversized for S+ cassettes).
The compromise isn't a neutral middle ground - it's systematic error affecting both populations in different ways. Dual-cassette workflows eliminate this entirely by optimizing each measurement for its target population.
The Dual-Cassette Protocol The Dual-Cassette Protocol
Running samples twice sounds like extra work, but the protocol is straightforward:
Step-by-Step Workflow
- Prepare sample: Standard single-cell analysis preparation
- First measurement: Run with S+ or S cassette - record small cell count and size data
- Change cassette: Switch to M+ or M cassette
- Second measurement: Run same sample - record large cell count and size data
- Report: Each population from its optimized measurement
The same sample, same experimental conditions, but each population measured through its optimal aperture. The extra run takes minutes but prevents systematic errors that propagate through all downstream analysis.
TIL Counting Application TIL Counting: Classic Dual-Cassette Application
Tumor-infiltrating lymphocyte counting is one of the immediate applications for dual-cassette workflows. The challenge is fundamental: T cells are small (6-10 μm), tumor cells are large (15-30+ μm).
The Challenge
A single cassette measurement forces impossible choices. Count T cells accurately with S+ cassettes, but risk missing tumor cells? Or ensure tumor cell passage with M+ cassettes while accepting undercounts of T cells?
Dual-cassette workflows solve this directly: S+ for T cell quantification, M+ for tumor cell quantification. Your ratio calculations use optimized counts for both populations.
Immune Cell Killing Assays Immune Cell Killing Assays
Immune cell killing assays present the identical scenario: cancer cells big, your T cells small. Whether you're evaluating CAR-T efficacy, NK cell cytotoxicity, or antibody-dependent killing, the size mismatch is inherent.
Why Dual-Cassette Matters
The experimental readout depends on accurate counts of both populations. Effector:target ratios, killing percentages, surviving target quantification - all require reliable numbers for both small effector cells and large target cells.
Dual-cassette workflows aren't optional for these assays; they're the only way to get publication-quality data. The extra measurement time is negligible compared to the experimental setup, and the data quality improvement is substantial.
Combining Results Combining and Reporting Dual-Cassette Results
How do you report results when different populations come from different measurements?
Reporting Guidelines
- Report from optimized sources: Small cell counts from S+ measurements, large cell counts from M+ measurements
- Calculate ratios from optimized values: E:T ratios use the optimized count for each population
- Document methodology: Note dual-cassette measurements for publications - this is methodological rigor
For total cell reporting, recognize that cells in the 12-18 μm overlap range may appear in both counts. For most applications, optimized individual population counts are more valuable than approximate totals.


