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Background: Forward-angle light scatter, as measured by flow cytometry, can be used to estimate the size spectra of cell assemblages from natural waters. The refractive index of water samples from aquatic environments can differ because of a variety of factors such as dissolved organic content, aldehyde preservative, sample salinity, and temperature. In flow cytometric analyses, mismatch between the refractive indices of the sheath fluid and the sample causes distortion of the forward-angle light scatter signal. We measured the effect of this mismatch on cell size measurements., Methods: We examined the error by measuring the scatter signal of a variety of particle types and sizes and changing the sheath-to-sample salinity ratio. The effects were characterized for standard microspheres, cultured phytoplankton cells of different sizes, and natural populations from an estuarine river., Results: We found that the distorted scatter signals resulted in an increase in the apparent size of small cells (1--2 microm) by a factor of 4.5 times. Cells in the size range of 3--5 microm were less affected by the salinity differences, and cells larger than 5 microm were not affected. Chlorophyll and phycoerythrin fluorescences and 90 degrees light scatter signals were not changed by sheath and sample salinity differences., Conclusions: Care must be taken to ensure that the sheath and sample refractive index are matched when using forward light scatter to measure cell size spectra, especially in estuarine studies, where salinity can vary greatly. Of the factors considered that can change the sample refractive index, salinity gradients in an estuary cause the largest index mismatch and, consequently, the largest error in scatter., (Copyright 2001 Wiley-Liss, Inc.)

The respiratory activity of marine bacteria is an important indication of the ecological functioning of these organisms in marine ecosystems. The redox dye 5-cyano-2,3-ditolyl tetrazolium chloride (CTC) is reduced intracellularly in respiring cells to an insoluble, fluorescent precipitate. This product is detectable and quantifiable by flow cytometry in individual cells. We describe here an evaluation of flow cytometry for measuring CTC activity in natural assemblages of marine bacteria growing in dilution cultures. We found that more CTC-positive cells are detected by flow cytometry than by visual epifluorescence microscopy. Samples can be stored refrigerated or frozen in liquid nitrogen for at least 4 weeks without a significant loss of total cells, CTC-positive cells, or CTC fluorescence. Cytometry still may not detect all active cells, however, since the dimmest fluorescing cells are not clearly separated from background noise. Reduction of CTC is very fast in most active cells, and the number of active cells reaches 80% of the maximum number within 2 to 10 min. The proportion of active cells is correlated with the growth rate, while the amount of fluorescence per cell varies inversely with the growth rate. The CTC reduction kinetics in assemblages bubbled with nitrogen and in assemblages bubbled with air to vary the oxygen availability were the same, suggesting that CTC can effectively compete with oxygen for reducing power. A nonbubbled control, however, contained more CTC-positive cells, and the amount of fluorescence per cell was greater. Activity may have been reduced by bubble-induced turbulence. Addition of an artificial reducing agent, sodium dithionite, after CTC incubation and fixation resulted in a greater number of positive cells but did not "activate" a majority of the cells. This indicated that some of the negative cells actually transported CTC across their cell membranes but did not reduce it to a detectable level. Automated analysis by flow cytometry allows workers to study single-cell variability in marine bacterioplankton activity and changes in activity on a small temporal or spatial scale.

We describe a model-based method for estimating the spatial frequency response of a digital-imaging system (e.g., a CCD camera) that is modeled as a linear, shift-invariant image acquisition subsystem that is cascaded with a linear, shift-variant sampling subsystem. The method characterizes the twodimensional frequency response of the image acquisition subsystem to beyond the Nyquist frequency by accounting explicitly for insufficient sampling and the sample-scene phase. Results for simulated systems and a real CCD-based epifluorescence microscopy system are presented to demonstrate the accuracy of the method.

This paper describes an algorithm for calculating the biovolume of cells with simple shapes, such as bacteria, flagellates, and simple ciliates, from a 2-dimensional digital image. The method can be adapted to any image analysis system which allows access to the binary cell image--(i.e., the pixels, or (x,y) points, composing the cell. The cell image is rotated to a standard orientation (horizontal), and a solid of revolution is calculated by digital integration. Verification and a critical assessment of the method are presented. The algorithm accounts for irregularities in cell shape that conventional methods based on length, width, and geometrical formulas do not.