In this interview, AZoSensors speaks with Jim Phillips, Application Scientist at Zurich Instruments, and Kivanç Esat, Product Manager at Zurich Instruments, about accelerating sensor development using advanced lock-in detection, precision measurement tools, and integrated software platforms. The pair discuss the full sensor workflow, from material discovery to packaging, and explain how digital lock-in amplifiers and modern control systems enable researchers to move from concept to reliable sensor performance faster than ever before.
Can you please introduce yourselves and your roles at Zurich Instruments?
Jim Phillips: Thank you. I am an Application Scientist with Zurich Instruments based in our Boston office. My role involves supporting customers in implementing advanced measurement techniques, particularly for sensor applications that require precise signal detection, fast feedback, and high sensitivity. I work closely with researchers who are pushing the limits of measurement, from low-frequency sensing up through RF and microwave applications.
Kivanç Esat: I'm a Product Manager at Zurich Instruments. My focus is on developing and optimizing our instrumentation to meet the evolving challenges of sensor development. We collaborate with researchers worldwide, and my role involves understanding their needs and translating those into practical measurement solutions that help accelerate their work.
Why is sensor development such a broad and interdisciplinary field?
Kivanç Esat: Sensor development covers an extremely wide range of physical parameters. A sensor essentially converts a physical quantity such as temperature, magnetic field, mechanical displacement, or material phase into an electrical signal. That means the underlying sensing mechanism could involve mechanical, electrical, optical, or material properties.
Sensors can range from microscopic MEMS devices integrated into smartphones to large-scale experimental setups designed to measure gravitational forces. Despite these differences, the workflow behind sensor development is surprisingly similar. It typically begins with material selection and characterization, then moves into sensing element design, calibration, readout electronics, control integration, and finally packaging.
Importantly, this workflow is iterative. Researchers often need to revisit earlier steps, refine materials, adjust operating conditions, and optimize feedback mechanisms. The key to accelerating sensor development is having a flexible, effective measurement toolset that enables these iterations to proceed quickly.

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What are the main stages in the sensor development workflow?
Kivanç Esat: The first stage involves identifying and characterizing the right material. This may include spectroscopy, transport measurements, or scanning probe techniques to understand how the material behaves.
Once the sensing principle is established, the next step is designing and characterizing the sensing element itself. This involves impedance analysis, parametric sweeps, and calibration to determine optimal operating conditions.
The third stage involves integrating control and readout circuitry. Feedback controllers are critical here. They stabilize the sensor, improve response time, and ensure operation in the correct regime.
Finally, packaging and quality assurance ensure the sensor can be reliably deployed. Because development is iterative, having integrated tools that allow rapid measurement and reconfiguration significantly reduces overall development time.
Why is lock-in detection so central to modern sensor development?
Jim Phillips: Lock-in detection is fundamental because many sensor signals are extremely small and easily buried in noise. A lock-in amplifier allows us to detect tiny signals even in the presence of large disturbances.
Noise is distributed across frequency. At low frequencies, you often encounter 1/f noise caused by fluctuations in the physical properties of the measurement system. At higher frequencies, noise becomes more uniform, often referred to as white noise. There are also synchronous noise sources from power lines, switching power supplies, or radio signals.
By modulating the signal and measuring at a carefully selected frequency, we move away from low-frequency noise and into a cleaner spectral region. The lock-in amplifier isolates only the signal component at the modulation frequency, dramatically improving the signal-to-noise ratio.
This ability to reliably extract weak signals is essential in sensor development, especially during early-stage characterization, when signal levels are often minimal.
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How does a digital lock-in amplifier work in practice?
Jim Phillips: The principle is straightforward but powerful. We take the reference frequency used to modulate the experiment and create a digital copy of it inside the instrument. The measured signal is multiplied by that reference.
When two sine waves are multiplied, the result includes components at the sum and difference of their frequencies. If both signals share the same frequency, the difference frequency becomes DC. This DC component corresponds directly to the amplitude of the signal at that frequency.
We perform this operation with sine and cosine references, generating two components, X and Y. From these, we calculate amplitude and phase. A low-pass filter removes higher-frequency components, leaving a clean measurement of the desired signal.
Modern digital lock-in amplifiers also allow multiple demodulation frequencies simultaneously. This enables harmonic detection, multi-mode measurements, and advanced techniques such as dual-frequency modulation or Pound-Drever-Hall locking.

Image Credit: Zurich Instruments
What practical steps help reduce noise in sensor measurements?
Jim Phillips: The first step is proper shielding. Placing the sensor and experiment inside a conductive enclosure reduces electromagnetic interference. Shielded or coaxial cables are also essential.
Next, you must eliminate ground loops. Unwanted currents from other equipment can inject noise into your measurement. Identifying and redirecting those currents is critical.
Finally, modulation is key. By selecting an optimal operating frequency, we avoid noisy spectral regions and significantly improve signal quality. The lock-in amplifier gives you control over that frequency selection.
Beyond signal detection, how does integrated software accelerate sensor development?
Jim Phillips: Modern digital lock-in amplifiers provide far more than just demodulation. Tools such as oscilloscopes and spectrum analyzers allow you to diagnose problems directly at the input stage. This is much easier than trying to troubleshoot after demodulation.
We also provide parameter sweep tools for quickly studying how a sensor responds to different variables. Integrated feedback controllers and arbitrary waveform generators allow users to build complete closed-loop systems within one platform.
By integrating these capabilities, researchers can prototype, test, and refine their sensor systems faster and more efficiently.
Can you share examples of diverse sensor applications that rely on lock-in detection?
Kivanç Esat: Lock-in detection appears across many fields. For example, nanomechanical resonators can detect single particles added to a cantilever by observing frequency shifts in their mass spectrum. Strain sensors measure changes in capacitance as a function of mechanical deformation. Gravitational experiments use long resonating beams or levitated masses to detect extremely small forces.
Although these applications differ greatly, they share a common requirement: detecting small signals with high precision. Lock-in detection is the enabling technology in many of these systems.
What advice would you give researchers aiming to accelerate sensor development?
Kivanç Esat: Focus on building a flexible measurement setup from the beginning. Since sensor development is iterative, you will revisit multiple stages. Having integrated tools that combine signal generation, demodulation, analysis, and feedback control saves substantial time.
Jim Phillips: And pay close attention to noise. Many measurement challenges can be solved by proper shielding, grounding, and frequency selection. Once the noise is under control, the physics of the sensor becomes much clearer.
About Jim Phillips
Jim Phillips is an Application Scientist at Zurich Instruments, based in the Boston office. He specializes in precision measurement techniques, signal processing, and lock-in detection for advanced research applications. With extensive experience supporting academic and industrial customers, he works across a broad range of sensing technologies spanning low-frequency to RF and microwave domains.
Phillips collaborates closely with researchers developing high-performance sensors, quantum devices, nanomechanical systems, and feedback-controlled instrumentation. His expertise lies in translating complex measurement challenges into practical solutions using advanced digital lock-in amplifiers and integrated control platforms. Through hands-on support and application development, he helps accelerate research workflows and optimize experimental performance in demanding sensing environments.
About KivançEsat
Kivanç Esat is a Product Manager at Zurich Instruments, where he focuses on developing advanced measurement and control solutions for cutting-edge research applications. He works closely with scientists and engineers worldwide to understand their sensor development challenges and translate those needs into innovative instrumentation features.
Kivanç's expertise spans sensor characterization, impedance analysis, feedback control systems, and precision signal detection. His work supports applications ranging from nanomechanical resonators and MEMS devices to gravitational sensing and quantum systems. Through collaboration with research teams and industry partners, he helps drive the evolution of flexible, high-performance measurement platforms that enable faster and more reliable sensor development.

This information has been sourced, reviewed, and adapted from materials provided by Zurich Instruments AG.
For more information on this source, please visit Zurich Instruments AG.
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