In situ microscopy using adjustment-free optics

Label-free detection and enumeration of Giardia cysts in agitated suspensions using in situ microscopy

Laboratory procedures performed in water treatment studies frequently require the characterization of (oo)cyst suspensions. Standard methods commonly used are laborious, expensive and time-consuming, besides requiring well-trained personnel to prepare samples with fluorescent staining and perform analysis under fluorescence microscopy. In this study, an easy cost-effective in situ microscope was assessed to acquire images of Giardia cysts directly from agitated suspensions without using any chemical labels or sample preparation steps. An image analysis algorithm analyzes the acquired images, and automatically enumerates and provides morphological information of cysts within 10 min. The proposed system was evaluated at different cyst concentrations, achieving a limit of detection of ~30 cysts/mL. The proposed system overcomes cost, time and labor demands by standard methods and has the potential to be an alternative technique for the characterization of Giardia cyst suspensions in resource-limited facilities, since it is independent of experts and free of consumables.

Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy

BACKGROUND

The morphology of yeast cells changes during budding, depending on the growth rate and cultivation conditions. A photo-optical microscope was adapted and used to observe such morphological changes of individual cells directly in the cell suspension. In order to obtain statistically representative samples of the population without the influence of sampling, in situ microscopy (ISM) was applied in the different phases of a Saccharomyces cerevisiae batch cultivation. The real-time measurement was performed by coupling a photo-optical probe to an automated image analysis based on a neural network approach.

RESULTS

Automatic cell recognition and classification of budding and non-budding cells was conducted successfully. Deviations between automated and manual counting were considerably low. A differentiation of growth activity across all process stages of a batch cultivation in complex media became feasible. An increased homogeneity among the population during the growth phase was well observable. At growth retardation, the portion of smaller cells increased due to a reduced bud formation. The maturation state of the cells was monitored by determining the budding index as a ratio between the number of cells, which were detected with buds and the total number of cells. A linear correlation between the budding index as monitored with ISM and the growth rate was found.

CONCLUSION

It is shown that ISM is a meaningful analytical tool, as the budding index can provide valuable information about the growth activity of a yeast cell, e.g. in seed breeding or during any other cultivation process. The determination of the single-cell size and shape distributions provided information on the morphological heterogeneity among the populations. The ability to track changes in cell morphology directly on line enables new perspectives for monitoring and control, both in process development and on a production scale.

Flow morphometry to assess the red blood cell storage lesion

We present a novel automated system for morphology analysis of red blood cells (RBC) under flow. RBC concentrates collected by blood banks for transfusions are stored for periods of up to several weeks, during which time a number of changes occur, collectively termed the storage lesion. Typically the extent of hemolysis is the defining criterion to determine the acceptability of the RBCs for transfusions. Morphological changes are related with biochemical alteration during the storage of RBCs. The typical blood smear procedure for determining such changes is a labor-intensive and potentially biased manual process. The advantage of the flow morphometry system presented here is that it provides fully automated morphological classification of RBCs with large sample numbers in a short time. Our system uses a commercially available flow cell and flow conditions that prevent adhesion of RBCs, thus eliminating the need for blocking agents such as albumin that affect the distribution of cell shapes. Our morphometry results are validated by comparison with standard biochemical assays (hemolysis, ATP) for blood from 17 donors stored under blood bank conditions for 13 weeks. We show that the percentage of spherocytes present can be used to estimate the status of RBC concentrates. © 2017 International Society for Advancement of Cytometry.