At ISSCC 2026, Session 29 on biochemical sensors included a paper that stood out for a simple but critical reason: it addressed the real scaling problem in solid-state nanopore sensing at the circuit and system level, not just the single-channel level.
In “A 256-Channel Event-Driven Readout for Solid-State Nanopore Single-Molecule Sensing with 193 pArms Noise in a 1 MHz Bandwidth,” researchers from KU Leuven and imec presented a complete front-end architecture that combines low-noise current sensing, event detection, and shared sampling resources to improve power, area, and data efficiency simultaneously.
For anyone interested in how mixed-signal design choices shape the future of life-science instrumentation, this work is particularly relevant. It proves that the challenge in nanopore sensing is no longer whether a single pore can be read accurately, but whether hundreds of pores can be monitored efficiently for practical high-throughput systems.
Why Nanopore Sensing Matters
Nanopore sensing identifies single molecules by measuring changes in ionic current as molecules pass through a nanoscale pore. When a molecule like DNA translocates, it partially blocks ion flow, inducing a measurable current modulation. The amplitude and duration of this signal are used to infer molecular characteristics, making the technology highly attractive for DNA analysis, protein detection, and molecular diagnostics.
Solid-state nanopores are especially promising because they are robust, compatible with semiconductor manufacturing, and capable of producing larger signal amplitudes than biological nanopores. However, the electronics quickly become the bottleneck. The front-end must maintain low noise at MHz-class bandwidth while operating under realistic nanopore currents and input capacitances.
The Real Scaling Problem: Power, Area, and Data Rate
Existing integrated readouts for solid-state nanopores are difficult to scale. Low-noise sensing typically requires excessive power and silicon area per pore. Concurrently, larger pore arrays generate massive data rates. Consequently, many prior approaches support only a few dozen pores while maintaining acceptable signal-to-noise ratios.
The KU Leuven and imec paper does not treat noise, area, power, and throughput as separate problems. Instead, it addresses them as linked system constraints.
The Power of Time Sparsity and Event-Driven Detection
Molecular translocation events do not happen continuously; most pores are idle most of the time. The proposed 65 nm CMOS chip exploits this "time sparsity" by integrating an event-detection circuit on each channel. Only data from active pores is forwarded to the ADC path, drastically reducing the data the system needs to process and transmit.
The architecture features:
256 integrate-and-hold transimpedance amplifiers (TIAs)
Eight shared sample-and-hold slots
A 12-bit pipelined SAR ADC operating at 16 MHz
Active pores dynamically connect to available slots. Compared to static allocation, this dynamic approach reduces missed events to around 0.1% while lowering area, power, and downstream processing burdens. This architecture-level decision reduces the overall ADC data rate by a staggering 32×.
Measured Performance and Biological Validation
The numbers justify the attention this architecture has received. The chip achieves 1 mW of power and 0.019 mm² of area per pore, reducing the total data rate to 288 Mbit/s.
Furthermore, the authors successfully tested the chip using SiN solid-state nanopores with diameters ranging from 10 to 30 nm. DNA molecules modified with three 17-dumbbell labels were driven through the pore, and the expected molecular signature was clearly visible in the translocation traces. It resolves biologically relevant events, proving the readout is practical for real molecular detection.
What This Means for Life Sciences
If solid-state nanopore systems are to support broader use in diagnostics or point-of-care tools, the readout electronics must scale without a disproportionate penalty in power, die area, or data movement. By combining a new TIA, per-channel event detection, and dynamic sample allocation, this design moves solid-state nanopore sensing closer to practical high-throughput use.
A scalable sensing platform is rarely the result of one better amplifier. It emerges from a coordinated design strategy that aligns front-end performance, data handling, and system utilization.
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