We will present our recent research on the development of systems and enabling technologies for precise and controlled handling and manipulation of micro and nano biological cells, molecules and tissues, down to the DNA level. The research seeks to understand and exploit the interaction forces between nano-probing mechanism, the bio-samples, and their environment. The outcome of this research will enable biologists and medical scientists to perform precise and controlled transport, positioning, insertion into and site-specific modification of bio-cells and related samples.
Our sensor and manipulation system centers on a Scanning Probe Microscope (SPM) robotic system which is specifically tailored for investigations of biological samples. Within this system, we are designing and incorporating novel sensor based processing and control mechanisms, integrated on a chip.
Our recent investigations of biological specimens have focused on manipulations of DNA similar to those which have been achieved for carbon nanotubes. Future investigations will include manipulations of cells, and on cell surfaces. Our aim is to combine the high resolution imaging which has been achieved by SPM for biological specimens since the advent of pico-Newton TappingMode Atomic Force Microscopy in liquid environments with the growing field of SPM-based nanomanipulation. We also exploit the ability that changes in the liquid cell environment have to tailor the tip-sample and sample-substrate interactions.
In order to achieve efficient and reliable manipulation in a micro/nano environment it is essential to possess capabilities of sensing, processing and actuation in dynamic interactions. We therefore acquire the signals which would normally be projected as an SPM image and use them as the sensing component within a feedback control loop formulation to accurately steer the probe's tip along a prescribed trajectory. Example prescribed trajectories includes tracking the surface of a cell with accurate precision required in operation of insertion or dissecting cell tissue. The methodology is automated by the feedback mechanism to allow for several desired key operations frequently used in biological and medical fields.
Prof. Virginia Ayres,
Department. of Electrical and Computer Engineering,
Room 2120 Engineering Building, Michigan State University,
East Lansing MI, 48824;