PubMed HealthSearch

PubMed · 3355649

Microcomputer software and interface for control of a microscope scanning stage.

Abstract

Motorized scanning stages are valuable in microscopy systems that employ digital image analysis and for the development of semiautomatic computer-assisted microscope systems; the development of standard software "tools" to control such stages will facilitate their integration into a variety of computer-based systems. A set of Microsoft BASIC and Turbo PASCAL programs that interfaces a microprocessor-controlled stepper motor microscope stage (MDACE 1000) to an IBM PC or PC-AT or compatible microcomputer via a serial interface (RS-232) is described. These programs can be integrated into other software written in either BASIC or PASCAL, or used via a menu program that directs the routines to control scanning patterns and to locate the microscope stage to a selected area of the slide. Coordinates of significant events on a slide can be stored on a disk file to allow future examination. The software and interface also provide control of a filter wheel in the microscope for use in multicolor fluorescence assays.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

B R Lee, H Ludl, C P Reynolds. 1988. Microcomputer software and interface for control of a microscope scanning stage.. https://pubmed.ncbi.nlm.nih.gov/3355649/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Seeing motion behind occluders.

The visual system has no difficulty maintaining the identity of an object as it disappears and reappears behind stationary occluders. In the natural world, a moving object may differ from occluders by many characteristics (colour, depth, shape and so on). Scene segmentation based on these characteristics is thought to happen early in visual processing, and to influence how objects, including moving objects, are identified. What happens if the only characteristic distinguishing an object is its direction of motion? Experiments with random dot displays show that one dot moving in a constant trajectory is readily detected among identical dots in brownian motion. Detection declines sharply if the trajectory is intermittently broken, but improves if occluders obscure the breaks in the trajectory. It is not sufficient that these occluders be perceived as segmented from the rest of the display (such as by colour or depth). Rather, it is critical that the occluders do not contain motion that is similar in direction to that of the target trajectory. We conclude that detection of the trajectory is due to the integration of information within a network of low-level motion detectors and is not dependent on segmentation processes.

Computers

Commercial applications of speech interface technology: an industry at the threshold.

Speech interface technology, which includes automatic speech recognition, synthetic speech, and natural language processing, is beginning to have a significant impact on business and personal computer use. Today, powerful and inexpensive microprocessors and improved algorithms are driving commercial applications in computer command, consumer, data entry, speech-to-text, telephone, and voice verification. Robust speaker-independent recognition systems for command and navigation in personal computers are now available; telephone-based transaction and database inquiry systems using both speech synthesis and recognition are coming into use. Large-vocabulary speech interface systems for document creation and read-aloud proofing are expanding beyond niche markets. Today's applications represent a small preview of a rich future for speech interface technology that will eventually replace keyboards with microphones and loud-speakers to give easy accessibility to increasingly intelligent machines.

Computers

Speech technology in the year 2001.

This paper introduces the session "Technology in the Year 2001" and is the first of four papers dealing with the future of human-machine communication by voice. In looking to the future it is important to recognize both the difficulties of technological forecasting and the frailties of the technology as it exists today--frailties that are manifestations of our limited scientific understanding of human cognition. The technology to realize truly advanced applications does not yet exist and cannot be supported by our presently incomplete science of speech. To achieve this long-term goal, the authors advocate a fundamental research program using a cybernetic approach substantially different from more conventional synthetic approaches. In a cybernetic approach, feedback control systems will allow a machine to adapt to a linguistically rich environment using reinforcement learning.

Computers