SYTO 9 is a fluorescent nucleic acid stain that widely used in microbiology, particularly for fluorescence microscopy and flow cytometry analyses. Fluorimetry-based analysis, i.e. analysis of intensity from bulk sample measurement, more cost effective, rapid accessible than or but requires application-specific calibration. Here we show the relevance food safety analysis. We stained four bacterial species to (Bacillus cereus, Escherichia coli, Salmonella enterica subspecies ser. Typhimurium,...

Minimally invasive surgery (MIS) is among the preferred procedures for treating a number of ailments as patients benefit from fast recovery and reduced blood loss. The trade-off that surgeons lose direct visual contact with surgical site have limited intra-operative imaging techniques real-time feedback. Computer vision methods well segmentation tracking tissues tools in video frames, are increasingly being adopted to MIS alleviate such limitations. So far, most advances been focused on...

Minimally invasive surgery (MIS) offers many advantages to patients but it also imposes limitations on surgeons ability, as no tactile or haptic feedback is available. From medical robotics perspective, visualizations issues specific MIS such limited field of view and the lack automatic exposure control surgical area make challenging when comes tracking tissue, tools camera pose well in perceiving depth. Lighting plays an important role 3D reconstruction variations due internal illumination...

Behavioral microsleeps are associated with complete disruption of responsiveness for [Formula: see text][Formula: text]s to 15[Formula: text]s. They can result in injury or death, especially transport and military sectors. In this study, EEGs were obtained from five nonsleep-deprived healthy male subjects performing a 1[Formula: text]h 2D tracking task. Microsleeps detected all subjects. Microsleep-related activities the EEG detected, characterized, separated eye closure-related activity,...

Abstract Minimally invasive surgery (MIS) offers several advantages to patients including minimum blood loss and quick recovery time. However, lack of tactile or haptic feedback poor visualization the surgical site often result in some unintentional tissue damage. Visualization aspects further limits collection imaged frame contextual details, therefore utility computational methods such as tracking tools, scene segmentation, depth estimation are paramount interest. Here, we discuss an...

Objective. One of the most widely used approaches in electroencephalography/magnetoencephalography (MEG) source imaging is application an inverse technique (such as dipole modelling or sLORETA) on component extracted by independent analysis (ICA) (sensor-space ICA + technique). The advantage this approach over alone that it can identify and localize multiple concurrent sources. Among techniques, minimum-variance beamformers offer a high spatial resolution. However, order to have both...

Multimodal neuroimaging has become a common practice in neuroscience research. Simultaneous EEG-fMRI is popular multimodal recording approach due to the complementary spatiotemporal relationship between two modalities. Several data fusion techniques have been proposed literature for fusion, including joint-ICA and parallel-ICA frameworks. Previous approaches used sensor-level EEG features. Recently, we introduced source-space ICA EEG-MEG source reconstruction component identification, which...

We propose a technique, called source-space-ICA to provide spatiotemporal reconstruction of brain sources. First, the weight-vector-normalized minimum variance beamformer is applied reconstruct electrical activity 3D scanning grid which covers whole brain. Second, principal component analysis used reduce dimension reconstructed signal matrix source-space, then independent (ICA) on resulting identify multiple sources in source-space. Third, demixing weight vectors obtained by ICA for...

Independent component analysis (ICA) has been used extensively for artifact removal and reconstruction of neuronal time-courses in electroencephalography (EEG). Typically, ICA is applied on wide-band EEG (for example 1 to 100 Hz or similar ranges). captures the activities a large number sources as components separated by limited sensors, only stronger (in terms magnitude duration) will be detected ICA, activity weaker lost scattered amongst components. Because 1/f nature spectra this biases...

Minimally invasive surgery (MIS) offers several advantages including minimum tissue injury and blood loss, quick recovery time, however, it imposes some limitations on surgeons ability. Among others such as lack of tactile or haptic feedback, poor visualization the surgical site is one most acknowledged factors that exhibits drawbacks unintentional damage. To context robot assisted surgery, frame contextual details makes vision task challenging when comes to tracking tools, segmenting scene,...

Motion of the tumour during a radiotherapy treatment can compromise clinical outcome for cancer patient. To address this challenge suitability and performance Intel RealSense™ D415 depth camera has been investigated as tool measuring respiratory motion body surface. The precision data characterised function measurement distance up to 1.2 meters from stationary moving latency system was also measured. average standard deviation in measurements ranged less than 0.2 mm shortest camera-surface...

Intra-operative automatic semantic segmentation of knee joint structures can assist surgeons during arthroscopy in terms situational awareness. However, due to poor imaging conditions (e.g., low texture, overexposure, etc.), is a challenging scenario, which justifies the scarce literature on this topic. In paper, we propose novel self-supervised monocular depth estimation regularise training arthroscopy. To further estimation, use clean images captured by stereo arthroscope routine objects...

Knee arthroscopy is a minimally invasive surgical (MIS) procedure which performed to treat knee-joint ailment. Lack of visual information the site obtained from miniaturized cameras make this more complex. cavity very confined space; therefore, scenes are captured at close proximity. Insignificant context knee atlas often makes them unrecognizable as consequence unintentional tissue damage occurred and shows long learning curve train new surgeons. Automatic awareness through labeling can be...

Abstract Independent component analysis (ICA) has been used extensively for artifact removal and reconstruction of neuronal time-courses in electroencephalography (EEG). Typically, ICA is applied on wide-band EEG (for example 1 to 100 Hz or similar ranges). Since captures the activities a large number sources fact that components separated by limited sensors, only stronger (in terms magnitude duration) will be detected ICA, activity weaker lost scattered amongst components. Because 1/f...