Case Study

Dim Light Melatonin Onset App

Enabling Accurate, At-Home Circadian Rhythm Research Through Intelligent Mobile Design

The Sleep and Circadian Research Laboratory at the University of Michigan specializes in studying sleep and circadian rhythm disorders associated with conditions such as depression, chronic pain, addiction, diabetes, HIV, and post-traumatic stress disorder.

To advance their research, the laboratory needed a reliable way for participants to collect saliva samples at home under controlled dim-light conditions—without compromising scientific accuracy. Traditional lab-based collection posed logistical challenges and reduced participation flexibility.

To address this, Michigan Medicine partnered with Symphonize to design and develop a purpose-built mobile application that guides participants through structured, low-light saliva sample collection while ensuring research-grade precision.

Our Solution: A Research-Optimized Mobile Study Companion

Symphonize engineered the DLMO app to support accurate, remote circadian rhythm measurement while maintaining strict adherence to research protocols.
Step-by-Step Participant Guidance: Designed a structured workflow that walks users through brushing, sample collection, session documentation, and selfie verification—ensuring consistent, protocol-aligned execution.
Ambient Light Monitoring: Integrated light sensor tracking to measure environmental brightness levels, alert users if conditions exceed thresholds, and record light exposure data for researchers to review alongside biological samples.
Built-In Timers and Smart Reminders: Implemented automated timers and notifications to keep participants on schedule, improving compliance and minimizing data inconsistencies.
Low-Light Optimized Interface: Developed a UI specifically calibrated for dim environments, reducing screen brightness and visual stimulation to prevent interference with melatonin production.
Secure Research Data Integration: Structured and securely stored collected data for streamlined analysis, enabling researchers to remotely monitor study adherence and circadian rhythm markers with confidence.

Enabling Accurate At-Home Sample Collection

The app transforms complex circadian rhythm measurement into a guided digital process, improving participant accuracy without requiring lab visits.

Strengthening Research Compliance

Automated reminders, sensor validation, and structured workflows reduce protocol deviations and enhance study reliability.

Supporting Scalable Remote Studies

The secure, mobile-based architecture allows research teams to expand participation while reducing logistical overhead associated with in-person monitoring.

Impact: Advancing Circadian Rhythm Science Through Technology

The DLMO app has streamlined remote circadian rhythm research by enabling accurate, structured, at-home sample collection. Participants value its intuitive guidance and reminders, while researchers benefit from reliable, timestamped, light-validated data without the constraints of lab-based visits.

By combining thoughtful UX design with precise scientific requirements, the DLMO app supports expanded research opportunities and enhances the reliability of circadian phase measurement studies.
Research-Optimized Mobile Application
Low-Light Precision Interface
Secure Remote Data Collection

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Christian Financial Credit Union
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Huntington National Bank
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Paqqets
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Meridian Medical Management
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