Viva Cyte 통합 소프트웨어 플랫폼 by Livia Stevenin is a highly esteemed winner of the very prestigious 2025 A' Design Award 은상 in 인터페이스, 인터랙션 및 사용자 경험 디자인 Competition Category.
은인터페이스· 2025
Viva Cyte 통합 소프트웨어 플랫폼
Client: Cellply
A' Design Award 은상 Winner in 인터페이스 Category
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The Design
About Viva Cyte 통합 소프트웨어 플랫폼
Viva Cyte는 자동화, 고처리량 분석, 직관적인 사용자 경험을 통합하여 세포 치료제 개발을 간소화하도록 설계된 첨단 소프트웨어 플랫폼입니다. 생물학적 시험을 관리하는 제어 소프트웨어(CSW)와 의미 있는 인사이트를 도출하는 분석 소프트웨어(ASW)로 구성됩니다. AI 기반 자동화는 인적 오류를 줄이고 정확도를 향상시키며 사용성을 강화하여, 연구자들이 복잡한 워크플로우를 효율적으로 처리하고 치료제 발전을 가속화할 수 있도록 지원합니다.
The Recognition
About the A' Design Award 은상
Viva Cyte 통합 소프트웨어 플랫폼, 이 작품은 A' Design Award 은상 수상작으로, 최상급이며 아름답고 인상적인 디자인에 수여되는 비범하게 권위 있는 인정입니다. 은상 수상작은 대단히 뛰어나고 매우 창의적인 작품으로, 디자이너의 탁월한 전문 지식, 재능, 통찰력을 보여 줍니다. Viva Cyte 통합 소프트웨어 플랫폼, 이 작품은 훌륭한 대표작으로서 매우 전문적이고 깊이 있게 혁신적일 것으로 기대됩니다. 이 은상 수상 디자인은 예술, 과학, 디자인, 기술의 경계를 넓히는 데 이바지하는 주목할 만하고 찬사를 받는 발명품입니다. Viva Cyte 통합 소프트웨어 플랫폼, 이 작품은 모두가 부러워하는 창작물로서 욕망을 일깨우고 긍정적인 감정을 불러오며 경탄과 경이로움을 불러일으킵니다.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- The project focused on UX/UI design for two integrated software solutions: Control Software (CSW) for launching and managing biological tests and Analytical Software (ASW) for extracting key insights from results. The design prioritizes scalability, usability, and automation and enables researchers to navigate complex workflows, configure tests, and analyze data with minimal effort, streamlining the entire process.
- Dimensions & Packaging
- Design: Figma
Front-end: React JS
Design System: Bento - Tags
- Cell therapy software, AI-driven automation, biomedical research, UX/UI design, data-driven, workflow optimization, healthcare innovation, regulatory compliance, user-centered design
- Production Technology
- We conducted extensive user research to design VivaCyte's software suite, including shadowing biologists in labs and interviewing end-users to understand their workflows and challenges. We also organized User Journey Mapping workshops, bringing together biologists and development teams to foster collaboration and gather diverse perspectives. The insights from these activities guided the creation of a custom design system, ensuring consistency and usability across the platforms.
- Design Challenge
- Designing VivaCyte posed challenges in balancing usability, automation, and compliance. Internally, we had to align complex biological workflows with intuitive design, ensuring seamless lab adoption. Externally, strict medical regulations require adherence to compliance standards. Limited industry precedents and evolving AI capabilities pushed us to innovate with user research, iterative prototyping, and AI-driven automation, overcoming barriers in technology and regulatory constraints.
- Research
- We conducted user research to enhance VivaCyte’s usability and efficiency. Using shadowing and interviews, we observed lab workflows and identified pain points. Data was collected via on-site studies, journey mapping, and prototype testing with biologists and technicians. Insights led to features like printable maps and a guided setup walkthrough, reducing errors and improving efficiency. The research optimized workflows, accelerating cell therapy development.
- Inspiration
- Inspired by the need to accelerate cancer cell therapies, VivaCyte was designed to streamline workflows, reduce human error, and enhance patient care. Recognizing the challenges of complex, labour-intensive workflows in cell therapy development, we sought to create a solution that integrates advanced automation, high-throughput analysis, and intuitive design. The design prioritizes usability and scalability, enabling researchers and clinicians to focus on innovation rather than constraints.
- Project Duration
- The project started in January 2022 in Milan and finished in August 2024.
- Operation Flow
- VivaCyte streamlines cell therapy workflows through an intuitive, automated interface. Users launch tests via the Control Software (CSW), which configures experiments that can be followed in real-time, while the Analytical Software (ASW) extracts biological insights and displays them. AI-driven automation minimizes errors, ensuring accuracy and efficiency. Designed for seamless interaction, it simplifies complex tasks, accelerates data analysis, and enhances usability.
- Team Members
- Designer: Sara Bianchini
Designer: Livia Stevenin
Designer: Agnese Ragucci - Image Credits
- Image #1: Mockup: Designed by Freepik, Image: Livia Stevenin (UX/UI designer), Image #2: Livia Stevenin (UX/UI designer), Image #3: Livia Stevenin (UX/UI designer), Image #4: Livia Stevenin (UX/UI designer), Image #5: Livia Stevenin (UX/UI designer),
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