S1). Each well of the microplate contain an individual RWG biosensor with a 2 × 2 mm2 sensing area. Each sensor has a characteristic resonant wavelength (λ) which is sensitive to refractive index (density) variations in the closed vicinity of the sensor surfaces (in a sensing depth of ...
Indications are printed at least on one surface of the sheet and the sheet is cut into a plurality of individual labels so that each label has the printed indication. One of the labels is disposed in a mold, a high-density polyethylene vessel is blow-molded in the mold, the label is ...
we proposed, based on location and connectivity, a functional role in visual processing [25,31], consistent with FoxP expressing neurons in the mammalian visual thalamus [45,46]. Here we further characterize the AmFoxP neuron populations in the honeybee brain in terms of their...
(Fig.3a, b). Reflectance spectra from each axon segment were extractable at a high signal-to-background ratio (>10) for reliable quantitative analyses (Fig.3b). To validate the source of the signal, we counterstained with a fluorescent probe selective to myelin (fluoromyelin)34. As shown ...
patches of 18 × 18 × 0.5 μm. To investigate the detailed neuroanatomy, the depth range of the volumetric image was decomposed into a few different parts and the maximum intensity projection (MIP) image for each part was displayed in Fig.3b–e. At the upper part of the vo...
[15]. Two strategies are employed to address multi-view multi-label problems. The first strategy involves constructing a multi-label classifier for each view data and combining the predictive results from all classifiers to obtain the final prediction [16]. For example, Huang et al. [17] ...
Therefore, the model according to the present disclosure adopts the form of segmenting neuron into small blocks, each with a size of 64×64×32. The specific implementation method is to use a sliding window to select positions on the neuron image by sliding. When the window includes areas ...
So that tells that we have a binary problem for each of the classes and it handles these 6 classes separately, so giving a probability for each class that the sample belongs to this class and therefore it can have high probability to belonging to different classes?
,xni) and ci is the corresponding class label. A classification algorithm usually operates in two steps. In the first step, the training set {xi,ci}i=1N is used to induce a model able to represent the relationship between each training example, defined by a set of predictive attribute ...
of proteins can be determined by analyzing the Amide I absorbance band (C=O stretching vibration of the protein backbone). The Amide I absorbance band is indicative for the secondary structure. It consist of several bands, each associated with distinct secondary structures [28,29,37]. The ...