Abstract: A stereomicroscope fluorescence system has a light source, a light guide, a focusing lens assembly, a stereomicroscope with two eyepiece receivers, and two eyepiece assemblies. The light guide is operably attached to receive light from the light source to transmit the light to the focusing lens assembly. The focusing lens assembly includes an excitation filter coated on the focusing lens. The eyepiece assemblies each have a barrier filter and are adapted to be mounted on the eyepiece receivers.

Abstract: A stereomicroscope fluorescence system has a light source, a light guide, a focusing lens assembly, a stereomicroscope with two eyepiece receivers, and two eyepiece assemblies. The light guide is operably attached to receive light from the light source to transmit the light to the focusing lens assembly. The focusing lens assembly includes an excitation filter coated on the focusing lens. The eyepiece assemblies each have a barrier filter and are adapted to be mounted on the eyepiece receivers.

Abstract: The present invention broadly includes a screen assembly including a U-shaped channel, a plurality of channels, and a plurality of retainer clips. Each channel in the plurality of channels includes respective first and second walls forming an L-shape and a respective third wall hingedly connected to the respective first wall. The respective first, second, and third walls form a U-shape when the respective third wall is in a closed position. The plurality of channels are arranged to receive a screen frame when the respective third wall is in an open position and the plurality of channel elements is arranged to restrain the screen frame when the respective third wall is in the closed position. The plurality of retainer clips is arranged to releasably engage the plurality of channels to maintain the respective third wall in the closed position.

Abstract: A computer aided detection method and system to assist radiologists in the reading of medical images. The method and system has particular application to the area of mammography including detection of clustered microcalcifications and densities. A microcalcification detector is provided wherein individual detections are rank ordered and classified, and one of the features for classification is derived using a multilayer perceptron. A density detector is provided including an iterative, dynamic region growing module with embedded subsystem for rank ordering and classification of a best subset of candidate masks. Features are computed from a detection on an input image by providing first and second regions on the input image corresponding to areas inside and outside the detection, measurements are computed based on values derived from the two regions, a standard deviation is computed for the measurements in each region, and a feature for the detection is computed using a Bauer-Fisher ratio.