WELCOME
DIY Diagnostics Stream
ABOUT US
The DIY Diagnostics Stream is part of the Freshman Research Initiative, a program that teaches students science through independent research experiences, in the College of Natural Sciences at the University of Texas at Austin. We are part of the do-it-yourself (DIY) health diagnostics revolution, developing diagnostic tests to improve patient and environmental health.
At DIY Diagnostics, we take an innovative approach to solving real-world problems by combining molecular biology, chemistry, electronics, and computer programming. Our stream emphasizes hands-on learning, where students collaborate to design and refine diagnostic tools through the iterative process of prototyping.
We believe every student brings unique skills and perspectives to the team, which we nurture to build confidence and foster creativity. By working together, we create a supportive environment that turns challenges into opportunities for discovery and growth. Join us to develop your expertise and make an impact in the world of diagnostics!
Course Credit Offered:
Spring Semester - CH204 (QR) & NSC109
Fall Semester - BIO206L (II) & MBS177 (Wr, II)
Continuing - NSC 108, MBS 377, CH 369K, CS 370, BIO 372 (E), NSC 321
FACULTY LEADERS
Dr. Timothy E. Riedel
Research Educator
Associate Professor of Practice in the College of Natural Sciences. Dr. Timothy Riedel has a diverse background in developing detection platforms. This includes molecular DNA diagnostics, wearable technology, and hopefully someday drones!
Dr. Andrew D. Ellington
Principle Investigator
Biochemistry/molecular biology professor and heads the Ellington Lab. His work focuses on engineering proteins and nucleic acids for biomedical purposes, especially in diagnostics. His research areas include directed evolution, ribozymes, and biotechnology.
STREAM PROJECTS
Read about what projects current DIY Researchers are working on!
Nam's project focuses on Loop-Mediated Isothermal Amplification (LAMP) for detecting Cryptosporidium parvum (crypto), a protozoan parasite that causes symptoms like diarrhea and stomach cramps. Crypto is typically diagnosed using LAMP by targeting two unique genes: GP60 and SAM-1. Nam is currently working to optimize LAMP amplification with these genes and has achieved successful amplification at concentrations of 10^3 - 10^5 copies per microliter. If consistent amplification is observed at the 10^3 concentration, the next step will be to move from synthetic gBlock DNA to using actual oocysts of the parasite for testing.
For the past two semesters, Jessica and Ayla's project has focused on investigating the accuracy and replicability of a novel form of LAMP called Probe-Enhanced LAMP (PE-LAMP). At a theoretical level, PE-LAMP uses traditional LAMP Loop Probes/Primers to enhance the detection and amplification of Single-Nucleotide Polymorphisms (SNPs). This approach seeks to overcome the limitations of traditional LAMP in detecting SNPs, which are crucial markers for various significant human diseases, including certain cancers, heart disease, and Alzheimer's. By replicating, modifying, and creating their own PE-LAMP assays, Jessica and Ayla aim to generate data that will contribute to the future development of the PE-LAMP technique and advance the field of SNP detection in genomic diagnostic tools.
Neha is developing a diagnostic tool for Rh Incompatibility, a condition where an Rh Negative mother’s immune system reacts against an Rh Positive fetus, potentially leading to pregnancy complications. The tool uses a lateral flow assay to detect antibodies against the RhD protein in maternal blood. A red line on the dipstick indicates the presence of antibodies, while no line means the test is negative. This diagnostic is crucial for doctors in low-resource settings, helping them efficiently allocate limited medication and intervene early to prevent complications.
