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TRV-2026-1170Certified recordPeer-reviewed

Code-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…

Science · G Space — documented gain · certified 2026-09-22 · v1 · article view · machine-readable

Current reading — gain

We unfold the successive-interference cancellation (SIC) algorithm into a deep-learning network, where repeated stages of a single multitask network implement iterative signal estimation and interference cancellation that reflect the structural prior of SIC.

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Truvace Impact Record TRV-2026-1170, v1: “Code-multiplexed multi-frequency impedance cytometry with a unified deep-unfolding network.” Truvace, 2026-09-22. /record/TRV-2026-1170 (accessed at citation time). sha256 52205b467d864893…

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