Location History:
- Royal Oak, MI (US) (1978)
- Petaluma, CA (US) (2003)
- La Mesa, CA (US) (2004 - 2008)
Company Filing History:
2 out of 461 
1 out of 4,770 
3 out of 832,843 Years Active: 1978-2008
Title: Innovations by John Austin McNeil
Introduction
John Austin McNeil is a notable inventor based in La Mesa, California. He has made significant contributions to the field of automated detection systems, holding a total of 5 patents. His work focuses on enhancing the efficiency and accuracy of signal-based assays through innovative technologies.
Latest Patents
One of McNeil's latest patents is titled "Automated system and method for simultaneously performing a plurality of signal-based assays." This automated detection system includes a robotic fluid handling system designed to perform multiple assays concurrently. It features a detection system that images the assays as they are conducted, along with a computer control, data acquisition, and data analysis system that manages the operation of both the fluid-handling and detection systems. The system comprises a pipettor that distributes a predetermined amount of liquid and a signal-generating element to each well, an excitation source that exposes the wells to excitation radiation, and a detector that simultaneously captures signals emitted from the wells using a single imaging means. The computerized controller coordinates the pipettor, excitation source, and detector to ensure seamless operation.
Career Highlights
Throughout his career, McNeil has worked with various organizations, including Science Applications International Corporation. His expertise in automated systems has positioned him as a key player in the development of advanced detection technologies.
Collaborations
Some of McNeil's notable coworkers include Michael Anthony Akong and Donald James Mierzeski. Their collaborative efforts have contributed to the success of various projects in the field of automated detection systems.
Conclusion
John Austin McNeil's innovative work in automated detection systems has significantly advanced the field of signal-based assays. His contributions continue to influence the development of efficient and accurate testing methods.