A novel method for detection and counting of single bacteria in a wide field using an ultra-high-sensitivity TV camera without a microscope

We describe a novel method for enumeration of bacteria, based on the principle that small, light emitting particles on a flat surface can be easily and rapidly detected and counted using an ultra-high-sensitivity TV camera. To test this method, we obtained TV images of individual cells of a luminous bacterium on a membrane filter without the use of a microscope. The positions of the luminous points in the TV images were almost the same as the positions of the bacterial colonies after growth. Our results show that the single cells can be efficiently detected and counted by our method if they emit light or can be stimulated to emit light.     

Dietary effects on pelage emissivity in mammals: Implications for infrared thermography

Infrared thermography is becoming popular to measure animal surface temperature non-invasively. However, its application in quantitative mammal research is restricted by a paucity of pelage emissivity measurements, which are necessary to acquire accurate temperature readings. Furthermore, the factors influencing pelage emissivity remain largely unknown. We therefore examined the putative links between diet (fat content), hair length, hair diameter, and pelage emissivity in laboratory mice. Individuals maintained on high-fat diets had higher pelage emissivity values than those on standard diets, which may be due to fur being oily and/or the fact that the fur clumped together, exposing the skin underneath. Alternatively, the chemical composition of the fur of individuals on a high-fat diet may vary from those on a standard diet. We found no significant relationships between various hair metrics and emissivity. This study highlights that aspects of an animal's life history (e.g. age, sex, diet) may contribute to the emissivity of its pelage. As such, a single emissivity value may be inappropriate for use in infrared thermography across all species or individuals; other aspects of an animal's biology, which may affect emissivity, should also be considered. Best practice should involve measuring emissivity for every individual animal used in thermography studies.     

Infrared micro-spectroscopic studies of epithelial cells

We report results from a study of human and canine mucosal cells, investigated by infrared micro-spectroscopy, and analyzed by methods of multivariate statistics. We demonstrate that the infrared spectra of individual cells are sensitive to the stage of maturation, and that a distinction between healthy and diseased cells will be possible. Since this report is written for an audience not familiar with infrared micro-spectroscopy, a short introduction into this field is presented along with a summary of principal component analysis.     

Thermal windows on the body surface of African elephants (Loxodonta africana) studied by infrared thermography

In this study, we examined infrared thermograms in the course of time of six African zoo elephants and observed two phenomena. First, we noticed independent thermal windows, highly vascularised skin areas, on the whole elephants’ body and second we observed distinct and sharply delimited hot sections on the elephants’ pinnae. The frequency of thermal windows increased with increasing ambient temperature and body weight. We assume that the restriction of an enhanced cutaneous blood flow to thermal windows might enable the animal to react more flexibly to its needs with regard to heat loss. With this understanding, the use of thermal windows in heat loss might be seen as a fine-tuning mechanism under thermoneutral conditions.     

Ground dwelling mammal response to fire: A case study from Monga National Park after the 2019/2020 Clyde Mountain fire

Ground dwelling mammal communities are documented six months before and after the Clyde Mountain Wildfire of 2019/2020 in Monga National Park. Across eight sites before fire, approximately 12 ground dwelling mammal species were recorded. Survey effort post-fire increased to 40 sites, spanning three fire severity classes (low, moderate and extreme), revealed 16 ground dwelling mammal species. Species consist of small, medium and large native (one threatened species) and introduced mammals, though consistent with previous findings of ground dwelling mammal diversity in the area. Overall a greater number of species were found in low, compared to moderate and severe fire severity classes. Recovery and detection of mammals occurred in a shorter time period, again, in sites that experienced low, followed by moderate and extreme fire severity.     

Characterisation of a high resolution small field of view portable gamma camera

A handheld, high-resolution small field of view (SFOV) pinhole gamma camera has been characterised using a new set of protocols adapted from standards previously developed for large field of view (LFOV) systems. Parameters investigated include intrinsic and extrinsic spatial resolution, spatial linearity, uniformity, sensitivity, count rate capability and energy resolution. Camera characteristics are compared to some clinical LFOV gamma cameras and also to other SFOV cameras in development.     

Mid-infrared spectroscopy-based antibody aggregate quantification in cell culture fluids

Therapeutic antibody purification involves several steps which potentially induce antibody aggregation. Currently, aggregate monitoring mainly employs chromatographic, SDS-PAGE and light scattering techniques. In this study, the feasibility of mid-infrared spectroscopy (MIR) for the quantification of soluble antibody aggregates was investigated. Several multivariate models were evaluated to quantify antibody aggregation in chromatography elution streams and in clarified CHO cell culture supernatants (a surrogate for bioreactor output). A general model was established that is applicable for aggregate quantification directly from different cell culture solutions. Real-process samples and process-sample mimics were used to verify the general aggregate quantification model using two different antibodies. Results showed good prediction ability down to 1% aggregate content. Together with recently published results using MIR for host cell protein and target protein quantification, the results presented here indicate that MIR could provide multi-parameter process information from a single, fast, cost-effective and straightforward measurement. In conclusion, our study demonstrates that MIR is suitable for aggregate quantification in therapeutic antibody purification processes.     

Nakagami imaging with related distributions for advanced thermogram pseudocolorization

Pseudocoloring algorithms embedded in the software of thermal cameras gradually colorize original intensity thermograms generated by detecting temperatures and contrast. Maximum and minimum based algorithms, however, executed by thresholding, applied to intensity thermograms for revealing and coloring the outliers instead. Although the common pseudocoloring protocols employed for general purposes may provide crucial information on the superficial contrast between radiation emitted by various sources; their common kernel is not sufficient for detecting and differentiating high radiated regions from surrounding areas, which is mandatory for recognition of abnormalities. Therefore, we propose novel imaging methodology based on Nakagami and related distributions, including gamma, Rayleigh, Weibull, chi-square and exponential, for enhancing thermal images and also for creating adequate discrimination. We initially define the boundaries of tumor and surrounding area in a synthetically generated breast thermogram already diagnosed as retroareolar tumor. Using Nakagami and transformations supported by mathematical foundations, we conducted several experiments to find the discrimination factor of the pseudocoloring techniques by calculating difference of average contrast between the tumor and the surrounding area. The performance is greatly encouraging that we achieved considerably better discrimination factor, designated for this study, up to 106.80 compared to the results of existing built-in pseudocolorization methods computed as 11.56.