![]() Return the number of leaves of the decision tree. The depth of a tree is the maximum distance between the rootĪnd any leaf. Returns : self DecisionTreeClassifierįitted estimator. check_input bool, default=Trueĭon’t use this parameter unless you know what you’re doing. Ignored if they would result in any single class carrying a Ignored while searching for a split in each node. That would create child nodes with net zero or negative weight are If None, then samples are equally weighted. sample_weight array-like of shape (n_samples,), default=None The target values (class labels) as integers or strings. y array-like of shape (n_samples,) or (n_samples, n_outputs) Internally, it will be converted toĭtype=np.float32 and if a sparse matrix is provided Parameters : criterion of shape (n_samples, n_features) DecisionTreeClassifier ( *, criterion = 'gini', splitter = 'best', max_depth = None, min_samples_split = 2, min_samples_leaf = 1, min_weight_fraction_leaf = 0.0, max_features = None, random_state = None, max_leaf_nodes = None, min_impurity_decrease = 0.0, class_weight = None, ccp_alpha = 0.0 ) ¶ Nandy, K., Chaudhuri, S., Ganguly, R., Puri, I.K.: Analytical modelfor the magnetophoretic capture of magnetic microspheres in microfluidic devices. Hirt, C.W., Nicols, B.D., Romero N.C.: Los Alamos Scientific Laboratory Report LA-5852 (Los Alamos New Mexico, 1975) AnalyticaChimicaActa 690, 137–147 (2011)įurlani, E.P.: Analysis of particle transport in a magnetophoretic microsystem. Suwa, M., Watarai, H.: Magnetoanalysis of micro/nanoparticles: a review. Lab Chip 11, 2577–2582 (2011)Īfshar, R., Moser, Y., Lehnert, T., Gijs, M.A.M.: Magnetic particle dosing and size separation in a microfluidic channel. Tsai, S.S.H., Griffiths, I.M., Stone, H.A.: Microfluidic immunomagnetic multi-target sorting-a model for controlling deflection of paramagnetic beads. Modak, N., Kejriwal, D., Nandy, K., Datta, A., Ganguly, R.: Experimental and numerical characterization of magnetophoretic separation for MEMS-based biosensor applications. Modak, N., Datta, A., Ganguly, R.: Cell separation in a microfluidic channel using magnetic microspheres. Keywordsįurlani, E.P., Sahoo, Y., Ng, K.C., Wortman, J.C., Monk, T.E.: A model for predicting magnetic particle capture in a microfluidic bioseparator. ![]() Finally, an optimum regime of design parameter is identified that yields the maximum capture efficiency and separation index. Parametric variation involving the particle size and relative widths of the outlet streams are carried out to observe the resulting influence on trajectories of magnetic beads and the particle capture and separation indices. The configuration is chosen as a practicable option for simultaneous separation of two different biological entities from the background media. A three-inlet and three-outlet micro-channel design configuration has been chosen for isolation of magnetic microspheres of two different sizes from a continuous flow. Particle trajectories in the microchannel under influence of a suitably designed magnetic field have been predicted by using an indigenous numerical code. Here we present a numerical study characterizing magnetophoretic split-flow thin (SPLITT) fractionation and compare its performance against field flow fractionation (FFF) in a microfluidic separation device. Selective separation of biological entities in microfluidic environment is an important task for a large number of bio-analytical protocols.
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