Enhanced functionalities of immune cells separated by a microfluidic lattice: assessment based on holotomography.

The isolation of white blood cells (WBCs) from whole blood constitutes a pivotal process for immunological studies, diagnosis of hematologic disorders, and the facilitation of immunotherapy. Despite the ubiquity of density gradient centrifugation in WBC isolation, its influence on WBC functionality remains inadequately understood. This research employs holotomography to explore the effects of two distinct WBC separation techniques, namely conventional centrifugation and microfluidic separation, on the functionality of the isolated cells. We utilize three-dimensional refractive index distribution and time-lapse dynamics to analyze individual WBCs in-depth, focusing on their morphology, motility, and phagocytic capabilities. Our observations highlight that centrifugal processes negatively impact WBC motility and phagocytic capacity, whereas microfluidic separation yields a more favorable outcome in preserving WBC functionality. These findings emphasize the potential of microfluidic separation techniques as a viable alternative to traditional centrifugation for WBC isolation, potentially enabling more precise analyses in immunology research and improving the accuracy of hematologic disorder diagnoses.

Genome-edited Saccharomyces cerevisiae strains for improving quality, safety, and flavor of fermented foods.

While Cas9-based genome editing enabled precise and sophisticated genetic perturbations in conventional and non-conventional yeast strains, its applications for food fermentations have been extremely limited. In order to improve quality and flavor of various yeast-fermented foods, we isolated and engineered a diploid or polyploid Saccharomyces cerevisiae strain (N1) which exhibits robust sugar fermentation, strong acid tolerance, and rapid gas production from Korean Nuruk. First, RGT2 and SNF3 coding for glucose sensors were deleted to increase respiration. A bread dough fermented with the N1ΔRGT2ΔSNF3 strain showed an 18% increased volume due to higher carbon dioxide production. Second, ASP3 coding for asparaginase was overexpressed and URE2 coding for a transcriptional factor of nitrogen catabolite repression (NCR) was deleted to increase asparagine consumption. When the N1ΔURE2::PGPD-ASP3 strain was applied to a potato dough, asparagine was rapidly depleted in the dough, resulting in potato chips with negligible amounts of acrylamide. Third, the N1ΔURE2 strain was utilized to increase levels of the amino acids which provide a savory taste during rice wine fermentation. The above genome-edited yeast strains contain no heterologous DNA. As such, they can be used to improve fermented foods with no subjection to GM regulation.

Real-time cancer diagnosis of breast cancer using fluorescence lifetime endoscopy based on the pH.

A biopsy is often performed for the diagnosis of cancer during a surgical operation. In addition, pathological biopsy is required to discriminate the margin between cancer tissues and normal tissues in surgical specimens. In this study, we presented a novel method for discriminating between tumor and normal tissues using fluorescence lifetime endoscopy (FLE). We demonstrated the relationship between the fluorescence lifetime and pH in fluorescein using the proposed fluorescence lifetime measurement system. We also showed that cancer could be diagnosed based on this relationship by assessing differences in pH based fluorescence lifetime between cancer and normal tissues using two different types of tumor such as breast tumors (MDA-MB-361) and skin tumors (A375), where cancer tissues have ranged in pH from 4.5 to 7.0 and normal tissues have ranged in pH from 7.0 to 7.4. To support this approach, we performed hematoxylin and eosin (H&E) staining test of normal and cancer tissues within a certain area. From these results, we showed the ability to diagnose a cancer using FLE technique, which were consistent with the diagnosis of a cancer with H&E staining test. In summary, the proposed pH-based FLE technique could provide a real time, in vivo, and in-situ clinical diagnostic method for the cancer surgical and could be presented as an alternative to biopsy procedures.

A Digital Shade-Matching Device for Dental Color Determination Using the Support Vector Machine Algorithm.

In this study, we developed a digital shade-matching device for dental color determination using the support vector machine (SVM) algorithm. Shade-matching was performed using shade tabs. For the hardware, the typically used intraoral camera was modified to apply the cross-polarization scheme and block the light from outside, which can lead to shade-matching errors. For reliable experiments, a precise robot arm with ±0.1 mm position repeatability and a specially designed jig to fix the position of the VITA 3D-master (3D) shade tabs were used. For consistent color performance, color calibration was performed with five standard colors having color values as the mean color values of the five shade tabs of the 3D. By using the SVM algorithm, hyperplanes and support vectors for 3D shade tabs were obtained with a database organized using five developed devices. Subsequently, shade matching was performed by measuring 3D shade tabs, as opposed to real teeth, with three additional devices. On average, more than 90% matching accuracy and a less than 1% failure rate were achieved with all devices for 10 measurements. In addition, we compared the classification algorithm with other classification algorithms, such as logistic regression, random forest, and k-nearest neighbors, using the leave-pair-out cross-validation method to verify the classification performance of the SVM algorithm. Our proposed scheme can be an optimum solution for the quantitative measurement of tooth color with high accuracy.

GPU accelerated real-time confocal fluorescence lifetime imaging microscopy (FLIM) based on the analog mean-delay (AMD) method.

We demonstrated GPU accelerated real-time confocal fluorescence lifetime imaging microscopy (FLIM) based on the analog mean-delay (AMD) method. Our algorithm was verified for various fluorescence lifetimes and photon numbers. The GPU processing time was faster than the physical scanning time for images up to 800 × 800, and more than 149 times faster than a single core CPU. The frame rate of our system was demonstrated to be 13 fps for a 200 × 200 pixel image when observing maize vascular tissue. This system can be utilized for observing dynamic biological reactions, medical diagnosis, and real-time industrial inspection.

von Willebrand's disease and psychotic disorders: co-segregation and genetic associations.

OBJECTIVES: To evaluate co-segregation and genetic associations between von Willebrand's disease (vWD) and psychotic disorders. METHODS: The study was initiated following ascertainment of a nuclear family in which four members were diagnosed with vWD and psychotic/mood disorders. As co-segregation was uncertain in the extended pedigree, we also investigated population-based linkage and association using polymorphisms of vWF, the gene conferring susceptibility to vWD. Three common vWF polymorphisms were investigated among 194 patients with psychotic disorders (bipolar I disorder, BD I; schizoaffective disorder, SZA and schizophrenia, SZ) and their parents. The cases were also compared with unrelated population-based controls (n = 183). RESULTS: The transmission disequilibrium test and related analyses suggested nominally significant transmission distortion of one allele and related haplotypes to the probands from their parents. The most significant results were obtained among patients with BD I, and similar trends were also evident in the SZ sample. Comparisons between the cases and population-based controls did not reveal associations, though marginally significant case-control differences were obtained in the BD I sample. CONCLUSIONS: These studies are consistent with association and linkage between vWF and BD I. However, given the relatively small sample, stochastic variation is an alternative explanation.