PubMed Health⌕ Search

Biomedical subjects

Benjamin P Rosenbaum

Publications and source records attributed to Benjamin P Rosenbaum.

2 recordsLinked to original sources

Design and implementation of a web-based, database-driven histology atlas: technology at work.

At Vanderbilt University, the "Human Cell and Tissue Biology" course is a required lecture and laboratory course with 2 full-time instructors and 106 students. To address demands placed on faculty for individual attention, an interactive Web-based histology atlas was developed and implemented in January 2005. This atlas was specifically designed to complement the existing laboratory manual and to transform the manual into an interactive educational tool whereby students could view high-resolution images of histological specimens online. By utilizing a computer scripting language, interactive highlighting of histological structures was accomplished through the implementation of a simple mouse-rollover function. This computer-aided instruction software allows students to preview histological structures of interest prior to entering the laboratory, to have additional faculty-directed contact hours during laboratory, and to review material efficiently. The conversion of the originally developed static application into a database-driven tool streamlined the development and modification of the atlas while facilitating the creation of advanced features. Six weeks after launching this interactive atlas, Vanderbilt medical students logged 1,200 hr of use. Through the cooperative efforts of faculty and students, the interactive atlas evolved to meet the educational demands of medical students owing to the development and implementation of a database structure. The functionality and educational value of the interactive atlas in facilitating self-learning was ultimately measured by positive student feedback and use.

Anatomy, Artistic↗

Predicting dialysate sodium composition in sorbent dialysis using single point and multiple-dilution conductivity measurement.

This research establishes the ability to predict the sodium composition in dialysate from a single conductivity measurement over the wide range of concentrations of chloride, bicarbonate, and acetate that occur during sorbent dialysis. The ranges explored in mEq/L were sodium 100-180, chloride 76-143, bicarbonate 16-31, and acetate 4-11. Through mathematical optimization using a pattern search method, a single point measurement technique was shown to predict the total sodium concentration within approximately +/- 4.2 mEq/L in solutions with varying relative concentrations of chloride, bicarbonate, and acetate. The data analysis showed that the total sodium concentration can be predicted within +/- 2.1 mEq/L in most cases. Another potential approach to determining sodium concentration, a multiple-dilution measurement method, was tested and is also described. It is based on the varying relationship of activity to concentration for each of the sodium-anion pairs. This technique has practical limitations because of interactions between the various ions in solution at normal concentrations of dialysis along with the complexities involved in creating high dilutions of dialysate for on-line assays during dialysis.

Biometry↗