Problem Statement
Fungi and mold analysis in microbiology laboratories is a time-consuming and labor-intensive process that involves multiple steps, from sample preparation to data analysis. Manual methods are prone to human error and variability, leading to inconsistent results and prolonged turnaround times.
Additionally, the increasing volume of samples in both clinical and environmental settings demands higher throughput and efficiency. There is a need for an automated system that can streamline the entire workflow, from sample preparation to final reporting, to enhance accuracy, reduce labor costs, and improve overall productivity.
Product Brief
Objective:
To develop an automated system for fungi and mold analysis that improves accuracy, consistency, and efficiency in microbiology laboratories, reducing the time and labor involved in the process.
Automated Sample Handling: Automated plating and incubation.Integrated sterile techniques to prevent contamination.
Imaging and Analysis: High-resolution imaging for detailed colony morphology.Advanced image processing software for accurate colony counting and classification.
Identification: AI and ML algorithms for rapid and precise identification of fungal species.Integrated databases for reference comparison.
Data Management: Automated data recording and integration with LIMS.Real-time updates and easy data retrieval.
Quality Control: Continuous monitoring and calibration of equipment.Automated alerts for equipment maintenance and calibration.
Reporting: Automated report generation with comprehensive analysis.Customizable report formats for different stakeholders.
Benefits:
Improved Accuracy and Consistency: Reduces human error and variability, ensuring reliable results.
Increased Efficiency: Significantly reduces the time required for analysis, allowing for higher throughput.
Cost Savings: Lower long-term operational costs due to reduced labor and increased efficiency.
Scalability: Easily scalable to handle increasing volumes of samples without a proportional increase in labor.
Enhanced Data Management: Streamlined data recording, retrieval, and reporting, integrating seamlessly with existing lab systems.
Dr. Alex Morgan - Persona
Age
34
Job Title
Senior Microbiologist
Education
- Ph.D. in Microbiology from Stanford University
- M.Sc. in Biomedical Sciences from Johns Hopkins University
- B.Sc. in Biology from the University of California, Berkeley
Experience:
- 10+ years of experience in microbiology research and clinical diagnostics
- 5 years managing laboratory teams and overseeing microbiological studies
- Extensive experience in both manual and automated microbiological analysis
Goals:
- To improve the accuracy and efficiency of microbiological analyses
- To stay updated with the latest advancements in microbiology and lab automation
- To contribute to significant scientific discoveries and advancements
- To mentor junior scientists and foster a collaborative lab environment
Tools and Technologies:
- Familiar with laboratory information management systems (LIMS)
- Skilled in using automated colony counters, plate readers, and imaging systems
- Proficient in statistical analysis software (e.g., SPSS, R)Experienced with molecular biology tools (PCR, sequencing)
Responsibilities:
- Overseeing the preparation and analysis of microbial samples
- Ensuring the proper incubation and monitoring of cultures
- Performing both manual and automated colony counting and identification
- Maintaining accurate and comprehensive records of all lab activities
- Ensuring all equipment is sterilized and quality control procedures are followed
- Analyzing data and generating detailed reports for internal and external stakeholders
- Collaborating with peers for peer review and verification of resultsContinuously improving lab processes and integrating new technologies
Challenges:
- Managing the balance between manual and automated processes
- Ensuring consistent and reliable results despite potential equipment malfunctions
- Keeping up with the fast-paced advancements in microbiological technologies
- Handling the administrative workload associated with documentation and reporting
Needs:
- Access to state-of-the-art laboratory equipment and technologies
- Continuous training and professional development opportunities
- Efficient and user-friendly laboratory information management systems
- Supportive and collaborative work environment
Dr. Emily Thompson - Persona
Age
42
Job Title
Senior Mycologist
Education
- Ph.D. in Mycology, University of California, Berkeley
- M. Sc Microbiology University California, San Diego
- B. Sc Human Biology Oberlin College
Experience:
- Over 15 years in fungal research
- Published numerous papers in top scientific journals
- Led multidisciplinary research teams
Goals:
- To improve the accuracy and efficiency of microbiological analyses
- To stay updated with the latest advancements in microbiology and lab automation
- To contribute to significant scientific discoveries and advancements
- To mentor junior scientists and foster a collaborative lab environment
Tools and Technologies:
- High-resolution microscopes
- Genetic sequencing tools
- Data analysis softwareField research equipment
Responsibilities:
-Conducts advanced research on fungal species and their ecological impact
- Leads a team of researchers in the laboratory and in the field
- Develops and tests new methods for fungal cultivation and analysis
- Publishes research findings and presents at scientific conferences
- Mentors junior scientists and students
Challenges:
- Securing funding for extensive research projects
- Keeping up with the latest technological advancements in mycology
- Balancing administrative duties with research activities
Needs:
- Advanced imaging and analysis tools
- Access to a comprehensive fungal species database
- Efficient data management and collaboration platforms
Dr. Jane Miller - Persona
Age
38
Job Title
Environmental Mycologist
Education
- Ph.D. in Mycology, University of California, Berkeley
- M. Sc University of Wisconsin-Madison
- B. Sc Biology University of Michigan, Ann Arbor
Experience:
- 12 years of research in fungal ecology and environmental impact
- Published multiple papers on fungal roles in ecosystem sustainability
- Collaborated with various environmental organizations on conservation projects
Goals:
- To advance the understanding of fungi in ecosystem health and sustainability
- To develop innovative fungal-based solutions for environmental remediation
- To increase public awareness of the ecological significance of fungi
Tools and Technologies:
- Portable microscopes and lab equipment
- GIS software for ecological mapping
- Statistical analysis tools (R, Python)
- Environmental monitoring sensors
- DNA sequencing tools
Responsibilities:
- Conducts field studies to collect and analyze fungal samples
- Researches the ecological roles of fungi in various environments
- Develops methods for using fungi in environmental remediation
- Publishes research findings in scientific journals
- Collaborates with environmental organizations on conservation efforts
- Educates the public and stakeholders on the importance of fungi
Challenges:
- Obtaining funding and resources for extensive field research
- Navigating logistical challenges of conducting research in remote locations
- Communicating complex scientific concepts to a broader audience
Needs:
- Access to advanced field research equipment and lab facilities
- Platforms for sharing and collaborating on research with other scientists
- Funding for long-term ecological studies and environmental projects
Dr. Michael Brown - Persona
Age
55
Job Title
Industrial Mycologist
Education
- Ph.D. in Biotechnology, Massachusetts Institute of Technology (MIT)
- M. Sc Biochimie Sorbonne University
- B. Sc Biochemistry University of Illinois at Urbana-Champaign
Experience:
- Over 20 years in industrial mycology and biotechnology
- Published extensively in leading scientific and industrial journals
- Led several high-profile industrial research projects
Goals:
- To innovate new fungal-based materials and products for industrial use
- To streamline and optimize production processes involving fungi
- To contribute to sustainable industrial practices through fungal applications
Tools and Technologies:
- Bioreactors for large-scale cultivation
- Genetic sequencing and editing toolsIndustrial fermentation equipment
- Data analysis and management software
- Laboratory automation systems
Responsibilities:
- Conducts research on the scalability of fungal cultivation
- Leads and manages industrial research projects
- Collaborates with engineers to integrate fungal technologies into production lines
- Publishes research findings and presents at industry conferences
Challenges:
- Ensuring the scalability of lab results to industrial levels
- Maintaining consistency and quality in fungal-based products
- Securing funding and resources for large-scale projects
Needs:
- Robust industrial-grade lab equipment
- Advanced software for monitoring and optimizing fungal growth
- Strong collaboration with engineering and production teams
Alex Morgan's Journey
Manual vs Automated Lab Process
High Level Product Journey
UI Inspiration Imagery
ID Inspiration Imagery
High Level App UX - Lab Tech UX
The lab technician app workflow starts with logging in and selecting tasks like Sample Preparation, Incubation, Imaging, Analysis, or Reporting from the main dashboard.
The Reporting task allows users to select data, generate customized reports, and export or send these reports as needed. After completing any task, the user is directed back to the home screen to select additional tasks or log out. This structured and intuitive workflow ensures that technicians can efficiently manage their duties, from sample handling to detailed analysis and reporting, all within a cohesive app interface. The design emphasizes ease of use, with clear steps and minimal complexity, enhancing productivity and accuracy in the laboratory setting.
High Level On-Device UX - Lab Tech
The workflow begins with the user powering on the device, initializing it, and selecting tasks from the home screen such as loading petri dishes, capturing images, barcoding samples, and sending data to the app.
For barcoding samples, the device attaches barcodes to the petri dishes, and the user verifies and confirms the attachment. The final task involves reviewing the collected data and sending it to the connected app, confirming the successful data transfer. After completing the necessary tasks, the user returns to the home screen and can either select additional tasks or power off the device. This structured workflow ensures that lab technicians can efficiently handle the preparation, imaging, barcoding, and data transfer of fungal petri dishes within a cohesive and user-friendly interface.
Prototype
Components and Brand
Hardware Design And On-Device UI
The Petricor fungi analysis system is compact, ergonomic, and built for a laboratory setting.
The device has a low-profile appearance with smooth edges and a minimalistic aesthetic. It includes an enclosed chamber with a transparent door, allowing visibility of the six petri dishes inside, which are laid flat to ensure even processing and imaging.
Additionally, there is an integrated barcode printer slot adjacent to the touchscreen, designed for printing barcodes to attach to the petri dishes. And there is a scanner device on the right hand side for tracking additional samples.
The on-device workflows streamline the management of fungi experiment sampling.
Key workflows include Sample and Image Collection, Barcode Printing and Scanning, and Chamber Monitoring and Control. They ensure efficient preparation, error reduction, and enhance sample traceability.
Petricor Cloud
The Petricor Cloud platform revolutionizes fungal research and diagnostics by offering a comprehensive, cloud-based solution for data analysis, storage, and collaboration.
By integrating advanced imaging technologies with powerful analytical tools, Petricor Cloud allows researchers to capture, analyze, and share detailed insights into fungal colonies seamlessly. The platform’s hyperspectral imaging capabilities enable precise identification of fungal species, while real-time data processing and automated reporting streamline the workflow, reducing the time and effort required for manual analysis. This enhances accuracy and efficiency, empowering researchers to focus on critical tasks and accelerating scientific discoveries.