The use of digital infrared thermal imaging to detect estrus in gilts

Yorkshire/Landrace crossbred gilts (N = 32) were evaluated using digital infrared thermal imaging (DITI) to discriminate between estrus and diestrus phases of the porcine estrous cycle. Gilts (N = 32) were part of an ongoing reproductive efficiency study involving the use of raw soybean (RSB; N = 15) versus soybean meal (SBM; N = 17) as a source of dietary protein. Gilts were monitored daily for signs of estrus using a teaser boar. Thermal images of vulva surface temperatures (TEMP) were recorded at standing estrus and diestrus. Measurements for analysis included minimum (MIN), maximum (MAX), mean (AVG), and standard deviation (SD) of temperature gradients. At imaging, ambient (AMB) and rectal temperatures (RT) were recorded, and blood samples taken for serum progesterone (P₄) concentration analysis (by RIA) to confirm stage of cycle. Mean serum progesterone values at estrus and diestrus were (mean ± SD) 1.0 ± 0.1 and 10.9 ± 0.8 ng/mL, respectively. Vulva MIN, MAX, and AVG thermal images were positively correlated with one another (P < 0.01), and were positively correlated with ambient temperature (P < 0.01). Vulva MAX and AVG thermal temperatures were greater (P < 0.05) at estrus than at diestrus (36.6 ± 0.2 °C and 33.4 ± 0.3 °C vs. 35.6 ± 0.3 °C and 31.8 ± 0.6 °C, respectively), whereas MIN and SD had no differences (P > 0.05) between stages of the cycle. No differences (P > 0.05) in RT were detected between stages and RT was not significantly correlated with vulva thermal images. Diet had no significant effect on RT or vulva temperature.     

Effects of lossy image compression on quantitative image analysis of cell nuclei

OBJECTIVE: To investigate whether statistically significant changes occur in quantitative image analysis of cell nuclei when lossy image compression techniques are used. STUDY DESIGN: Thirty-five stoichiometric, Feulgen-stained samples of rat hepatocytes, human thyroid and ovarian cancer cell nuclei were used. Image analysis was performed by a computerized system that used AutoCyte LINK V1.1.1.56 software (Burlington, North Carolina, U.S.A.) for image acquisition and Zeiss Vision KS 400 V3.0 software (Oberkochen, Germany) for quantitative image analysis. After lossy JPEG compression of acquired images at different quality levels, some densitometric features were selected and measurements performed. RESULTS: We observed that nearly all the standard densitometric features showed statistically significant changes when images were compressed with the lossy JPEG algorithm. However, most invariant densitometric moment features remained free of statistically significant changes. CONCLUSION: The standard densitometric measurements that we used do not tolerate lossy compression. However, analyses using invariant densitometric features may be performed on images compressed with lossy JPEG, resulting in simpler, less expensive systems demanding less network bandwidth.     

Alterations in cell nuclei during apoptosis

Apoptosis is a genetically programmed phenomenon that aids in maintaining homeostasis in multicellular organisms. The characteristic morphological features of apoptosis are highly conservative and are dependent on the cell type and the apoptotic inducer. The nuclear events occurring during apoptosis include changes at the molecular level (i.e. DNA cleavage, modifications of nuclear polypeptides, and proteolysis of several proteins important for cell maintenance), and, consequently, alterations at the morphological level (i.e. chromatin condensation, nuclear shrinkage, DNA fragmentation and apoptotic body formation). These events are still not fully understood. It is very probable that a progressive decrease in pH could also be an essential factor for the induction of nuclease and protease activities, and an important element of the optimal conditions for their function. This review details the current state of knowledge on apoptotic nuclear events, with particular focus on the proteins involved in the execution of apoptosis in cell nuclei, and on the differences in substrate cleavage profiles for different types of cell undergoing cell death.     

The use of graph theory in analysis of cells and cell nuclei in particular

Application of graph theory to morphological analysis of cells described by n parameters is presented. The analysis takes advantage of the possibility of describing structures in a multi-dimensional space. The method may be useful in determining similarity or differences between studied structures.     

The use of digital image segmentation to quantify an aminoanthraquinone dye biotransformation by white-rot fungi

Summary Three methods are presented for the objective, digital evaluation of Remazol Brilliant Blue R dye biotransformation by the white rot fungi, Pycnoporus cinnabarinus and Phanerochaete chrysosporium. This screening technique uses computerized image analysis and a binary logical and function to provide a rapid (2 min per analysis), quantitative, digital densitometry interpretation of enzyme induced chromophore conversion by fungi. A kinetic measure of metabolic activity (enzyme activity coefficient, ) may also be determined. It is shown that chromophore conversion is more rapid and extensive by P. cinnabarinus.     

Automatic segmentation of cell nuclei in Feulgen-stained histological sections of prostate cancer and quantitative evaluation of segmentation results

Digital image analysis of cell nuclei is useful to obtain quantitative information for the diagnosis and prognosis of cancer. However, the lack of a reliable automatic nuclear segmentation is a limiting factor for high-throughput nuclear image analysis. We have developed a method for automatic segmentation of nuclei in Feulgen-stained histological sections of prostate cancer. A local adaptive thresholding with an object perimeter gradient verification step detected the nuclei and was combined with an active contour model that featured an optimized initialization and worked within a restricted region to improve convergence of the segmentation of each nucleus. The method was tested on 30 randomly selected image frames from three cases, comparing the results from the automatic algorithm to a manual delineation of 924 nuclei. The automatic method segmented a few more nuclei compared to the manual method, and about 73% of the manually segmented nuclei were also segmented by the automatic method. For each nucleus segmented both manually and automatically, the accuracy (i.e., agreement with manual delineation) was estimated. The mean segmentation sensitivity/specificity were 95%/96%. The results from the automatic method were not significantly different from the ground truth provided by manual segmentation. This opens the possibility for large-scale nuclear analysis based on automatic segmentation of nuclei in Feulgen-stained histological sections.     

Possible use of television image analysis for measuring the volume and surface area of irregularly shaped nuclei

A use of the TV image for measuring volumes and squares of blood cell nuclei irregular in shape is considered. The linear correspondence has been detected between the volumetric-spatial structure of the object and the shape of the respective video-signal, this correspondence being mathematically proved. The measuring of parametres of video-signal may be informative of the object's shape.     

Symmetry analysis of cell nuclei

An algorithm is described that is used to analyze the two-dimensional spatial symmetry of cell nuclei. The method provides two symmetry features: the symmetry index (SI), which estimates the precise spatial symmetry of a given chromatin component, Cn, and the quadrant symmetry index (QSI), which estimates the number of quadrants being occupied by Cn. A previous analysis is used to show that age-related change in Malpighian tubule nuclei from the adult housefly is associated with significant alterations in the spatial symmetry of low-, medium-, and high-density chromatin components (LDC, MDC, HDC). This included a seven-fold increase in the spatial symmetry of HDC and a shift in the symmetry profile (from highest to lowest degree of symmetry) from LDC-MDC-HDC to MDC-LDC-HDC. The increased spatial symmetry of HDC suggests that it occurs at new nuclear sites as the fly ages and that these sites are distributed over approximately 60% of the chromosome population.     

The use of solid-state image sensor technology to detect and characterize live mammalian cells growing in tissue culture

Arguments are presented that approximately 30 000 cells have to be measured in a single experiment to measure radiobiological parameters in a low-dose survival assay. For this purpose, a fully automated device capable of detecting and recognizing individual live unstained mammalian cells at a rate of 1 cm2/min is required. Specifications of such a system are derived and evidence is presented which suggests that this can best be carried out using a solid-state image sensor in the form of a linear array of photodetectors. The outline of the design and other potential uses of such a device are discussed.     

Influence of cell cycle synchronization on digital image analysis of HL-60 granulopoiesis.

Retinoic acid (RA)-treated HL-60 cells subjected to density arrest (DA) and double thymidine block (TB) synchronization demonstrated image feature changes associated with cellular proliferation and differentiation. RA-treated TB cells demonstrated an increased level of morphologic differentiation (assessed by differential counts and quantitation of nuclear shape) and more rapid functional differentiation (assessed by superoxide production and expression of complement receptors) than RA-treated DA cells. By comparison to DA cells, TB cells had less variation in virtually all image features values. A Kruskal-Wallis test of image features ranked total optical density (TOD) of Feulgen-stained cells, nuclear area and shape factor as the top three features regardless of synchronization method. Statistically significant changes in image feature values of RA-treated cells were first noted on day 1. The computer-assisted ability to discriminate RA-treated cells on a given day after induction from paired controls by means of an unsupervised learning algorithm increased over a seven-day period for both DA and TB cells. However, in the dichotomous (RA-treated versus untreated) classification scheme employed, which did not account for continuous levels of morphologic differentiation, there was no advantage in the use of the TB over DA procedure.     

Comparison of fine needle aspirates of breast cancers to imprint smears by means of digital cell image analysis

Morphonuclear assessments were performed using the SAMBA 2005 cell image processor on cell nuclei in fine needle aspirates and corresponding imprint smears from 17 not-otherwise-specified (NOS) breast carcinomas to study the influence of cell sampling on the morphonuclear measurements. Fourteen parameters related to densitometric (nuclear DNA content), morphometric (nuclear area) and textural (chromatin organization and distribution) characteristics were computed for each nucleus. The results demonstrated that such morphonuclear features evolved significantly and positively with respect to conventional histopathologic grading. The method of cell sampling significantly influenced the results, but without altering the general conclusions regarding evolution of the morphonuclear features.     

Quantitation of cell area on glass and fibronectin-coated surfaces by digital image analysis.

By using digital image processing and analysis, two procedures were developed to rapidly measure the projected area of a field of adherent 3T3 fibroblasts without staining of cell borders. The cell area of newly attached and rounded cells with well-resolved borders was obtained by a gray value thresholding procedure. For cells that had undergone an appreciable degree of spreading, cell boundaries were less distinct and a nonlinear spatial Sobel filter was used, followed by thresholding. For both procedures, linear relations were observed between cell areas obtained from image analysis and cell areas obtained by tracing. The areas of a population of traced cells were not statistically different from the area distribution obtained by using the standard curves for the processed images. Uncertainty in the estimated mean area depended only upon the number of cells examined. Approximate numbers of cells required to obtain estimates of the mean are calculated. As an application of these procedures, cell areas were measured for 3T3 cells attached to glass and fibronectin-coated surfaces and were found to be significantly larger for cells spreading on fibronectin-coated glass than on glass alone. Increased cell area during spreading on fibronectin-coated surfaces was proportional to increased cell adhesivity after exposure to a shear stress of 58 dyn/cm2.     

Automatic digital image analysis for identification of mitotic cells in synchronous mammalian cell cultures

Mitotic frequency in a synchronous culture of mammalian cells was determined fully automatically and in real time using low-intensity phase-contrast microscopy and a newvicon video camera connected to an EyeCom III image processor. Image samples, at a frequency of one per minute for 50 hours, were analyzed by first extracting the high-frequency picture components, then thresholding and probing for annular objects indicative of putative mitotic cells. Both the extraction of high-frequency components and the recognition of rings of varying radii and discontinuities employed novel algorithms. Spatial and temporal relationships between annuli were examined to discern the occurrences of mitoses, and such events were recorded in a computer data file. At present, the automatic analysis is suited for random cell proliferation rate measurements or cell cycle studies. The automatic identification of mitotic cells as described here provides a measure of the average proliferative activity of the cell population as a whole and eliminates more than eight hours of manual review per time-lapse video recording.     

The correlation between uptake of Methyl Green and Feulgen staining intensity of cell nuclei. An image analysis study

Summary Paraffin sections of rat tissue fixed in either formaldehyde solution (3.6% w/v) or in Carnoy's fluid were stained using standardized Methyl Green—Pyronin procedures with the dyes used either simultaneously or in sequence. The sections were evaluated for the uptake of the two dyes by cell nuclei, nucleoli and cytoplasm using colour TV-image analysis. The parameters measured were integrated optical density and the surface area of the object. The sections were then destained and a Feulgen reaction was performed. The coordinates of the cells measured after the simultaneous Methyl Green—Pyronin method were stored in the computer, making it possible to measure the same cells in the Feulgen-restained sections. Image analysis gave results which invalidate the sequential methods as opposed to the simultaneous method. Mean optical densities were significantly increased for both dyes with the simultaneous method after formaldehyde fixation as compared to Carnoy fixation. The quantitative correlation of Methyl Green and DNA in the simultaneous technique was found to parallel exactly that of the Feulgen stain. In conclusion, the simultaneous Methyl Green—Pyronin technique is recommended while the sequential methods seem to be of less value.     

The use of interactive image analysis for demonstrating coexistence

A new approach to establish morphological coexistence using computerized image analysis is described. With this technique, the coexisting pattern in two images is revealed by recording the images via a TV camera on a Zeiss/Kontron IBAS interctive image analyzer. Using an arithmetic or a Boolean algebraic operation, the computer then directly compares the respective patterns obtained for different neuroactive substances and shows the resulting coexisting cells (in white) on a TV-monitor. Also non-coexisting system can be showed in various shades of grey. The method allows for a non-biased, rapid and exact scanning of tissue sections where a possible coexistence may be present.     

Application of a small microcomputer to cell image analysis

Solutions to three problems in using small microcomputers for interactive cell image analysis are discussed. (1) To allow interactive processing of up to 62 X 88 pixels on inexpensive screens, data can be displayed in gray levels with an approximate logarithmic grading. Each pixel is composed of 32 screen coordinates, applying the dither matrix method to avoid artificial structures. (2) To mark special regions of interest in the image, a graphic cursor, handled from the keyboard, was implemented. (3) To evaluate parts of the image, as outlined by the cursor, the program must distinguish whether a particular pixel is outside, inside or on the border of the region. The developed algorithms permit practical interactive evaluation of cell images on a small microcomputer, with no image analysis implementation. However, it is necessary that the assembly language of the microprocessor be available for some sophisticated programming and that the operating system support graphic facilities with an appropriate resolution.