aceCode-multiplexed multi-frequency impedance cytometry with a unified deep-unfolding network
Impedance flow cytometry (IFC) is a label-free, single-cell measurement technique that captures biophysical properties beyond traditional biochemical markers. Code-multiplexing allows parallelization of IFC with simple hardware but requires advanced signal processing algorithms to resolve overlaps in signals originating from different channels. Existing methods, however, rely on multiple task-specific networks with template-based linear fitting, which loses accuracy under nonlinear or unstable conditions common…
A deep-learning network based on SIC was built to resolve overlapping signals in code-multiplexed impedance flow cytometry.
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- Peer-reviewedMicrosystems & Nanoengineering2026-09-21
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Truvace Impact Record TRV-2026-1170, v3: “Code-multiplexed multi-frequency impedance cytometry with a unified deep-unfolding network.” Truvace, 2026-11-04. /record/TRV-2026-1170 (accessed on the day you copy it). sha256 f5d0bae41bb63a01…
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Editorial pass: sharper headline; filed as context: no real AI gain or problem (gain activity_only, problem absent).
Direction audit: the gain line described the method, not an outcome; restated as the finding.
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