Browsing by Author "Keymer, Juan MI."
Now showing 1 - 6 of 6
Results Per Page
Sort Options
- ItemDiversity emerging: from competitive exclusion to neutral coexistence in ecosystems(2012) Keymer, Juan MI.; Marquet, P. A. (Pablo A.)
- ItemDo microenvironmental changes disrupt multicellular organisation with ageing, enacting and favouring the cancer cell phenotype?(2020) Castillo, Simón P.; Keymer, Juan MI.; Marquet, P. A. (Pablo A.)
- ItemExpansion, Exploitation and Extinction : Niche Construction in Ephemeral Landscapes(2020) Wetherington, Miles T.; Keymer, Juan MI.
- ItemLow cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering(2017) Núñez Quijada, Isaac Natán; Matute Torres, Tamara Francisca; Herrera, Roberto; Keymer, Juan MI.; Marzullo, Timothy; Rudge, Timothy; Federici, FernánThe advent of easy-to-use open source microcontrollers, off-the-shelf electronics and customizable manufacturing technologies has facilitated the development of inexpensive scientific devices and laboratory equipment. In this study, we describe an imaging system that integrates low-cost and open-source hardware, software and genetic resources. The multi-fluorescence imaging system consists of readily available 470 nm LEDs, a Raspberry Pi camera and a set of filters made with low cost acrylics. This device allows imaging in scales ranging from single colonies to entire plates. We developed a set of genetic components (e.g. promoters, coding sequences, terminators) and vectors following the standard framework of Golden Gate, which allowed the fabrication of genetic constructs in a combinatorial, low cost and robust manner. In order to provide simultaneous imaging of multiple wavelength signals, we screened a series of long stokes shift fluorescent proteins that could be combined with cyan/green fluorescent proteins. We found CyOFP1, mBeRFP and sfGFP to be the most compatible set for 3-channel fluorescent imaging. We developed open source Python code to operate the hardware to run time-lapse experiments with automated control of illumination and camera and a Python module to analyze data and extract meaningful biological information. To demonstrate the potential application of this integral system, we tested its performance on a diverse range of imaging assays often used in disciplines such as microbial ecology, microbiology and synthetic biology. We also assessed its potential use in a high school environment to teach biology, hardware design, optics, and programming. Together, these results demonstrate the successful integration of open source hardware, software, genetic resources and customizable manufacturing to obtain a powerful, low cost and robust system for education, scientific research and bioengineering. All the resources developed here are available under open source licenses.
- ItemPattern Formation in a Patch Occupancy Metapopulation Model: a Cellular Automata Approach(1998) Keymer, Juan MI.; Marquet, P. A. (Pablo A.)
- ItemThe idiosyncrasy of spatial structure in bacterial competition(2015) Hol, F.; Keymer, Juan MI.