A method for magnetic cellular manipulation may include contacting a composition with a biological sample to form a mixture. The composition may include a plurality of particles. Each particle in the plurality of particles may include a magnetic substrate. The magnetic substrate may be characterized by a magnetic susceptibility greater than zero. The composition may also include a chargeable silicon-containing compound. The chargeable silicon-containing compound may coat at least a portion of the magnetic substrate. The biological sample may include cells and/or cellular structures. The method may also include applying a magnetic field to the mixture to manipulate the composition.

A method for magnetic cellular manipulation may include contacting a composition with a biological sample to form a mixture. The composition may include a plurality of particles. Each particle in the plurality of particles may include a magnetic substrate. The magnetic substrate may be characterized by a magnetic susceptibility greater than zero. The composition may also include a chargeable silicon-containing compound. The chargeable silicon-containing compound may coat at least a portion of the magnetic substrate. The biological sample may include cells and/or cellular structures. The method may also include applying a magnetic field to the mixture to manipulate the composition.

A method for preparing iron alloy and a cement material, in the field of solid waste recycling, provides an efficient, synergistic effect between main components of carbon, calcium and heavy metal in municipal solid waste incineration (MSWI) fly ash and main components of iron, aluminum and silicon in red mud, so that the iron alloy and cement material can be readily obtained. By using waste to treat waste and using the complementarity of the components of two waste streams, carbon in the MSWI fly ash may provide a reductant to accelerate an iron mineral in the red mud to reduce into metal iron. With the formation of the metal iron, a siderophile heavy metal element in the MSWI fly ash is also accelerated to enter an iron phase. Meanwhile, the cement material is formed by Al.sub.2O.sub.3 and SiO.sub.2 in the red mud and CaO in the MSWI fly ash.

A method for preparing iron alloy and a cement material, in the field of solid waste recycling, provides an efficient, synergistic effect between main components of carbon, calcium and heavy metal in municipal solid waste incineration (MSWI) fly ash and main components of iron, aluminum and silicon in red mud, so that the iron alloy and cement material can be readily obtained. By using waste to treat waste and using the complementarity of the components of two waste streams, carbon in the MSWI fly ash may provide a reductant to accelerate an iron mineral in the red mud to reduce into metal iron. With the formation of the metal iron, a siderophile heavy metal element in the MSWI fly ash is also accelerated to enter an iron phase. Meanwhile, the cement material is formed by Al.sub.2O.sub.3 and SiO.sub.2 in the red mud and CaO in the MSWI fly ash.

A method of beneficiating iron ore streams, the method comprising the steps of sizing an iron ore stream to provide a fines fraction of less than 3.0 mm diameter particle size and contacting the fines fraction with a magnetic field and magnetically separating the fines fraction into a concentrate stream and a tailings stream.

A method of beneficiating iron ore streams, the method comprising the steps of sizing an iron ore stream to provide a fines fraction of less than 3.0 mm diameter particle size and contacting the fines fraction with a magnetic field and magnetically separating the fines fraction into a concentrate stream and a tailings stream.

A detection device of a substance to be measured according to an embodiment of the present disclosure is intended to conveniently detect a bio-related substance such as a bacteria or a fungus. The detection device according to an embodiment of the present disclosure includes, a container that contains solution and a composite particle combining a substance to be measured and a magnetic labeling substance, a magnetic field applying unit that applies a magnetic field to a predetermined region so as to collect the composite particles, wherein spatial light is incident to the predetermined region other than lower region of the container, an imaging unit for imaging the composite particles collected in the predetermined region where the spatial light is incident, a detection unit that detects the composite particles based on the image captured by the imaging unit.

A detection device of a substance to be measured according to an embodiment of the present disclosure is intended to conveniently detect a bio-related substance such as a bacteria or a fungus. The detection device according to an embodiment of the present disclosure includes, a container that contains solution and a composite particle combining a substance to be measured and a magnetic labeling substance, a magnetic field applying unit that applies a magnetic field to a predetermined region so as to collect the composite particles, wherein spatial light is incident to the predetermined region other than lower region of the container, an imaging unit for imaging the composite particles collected in the predetermined region where the spatial light is incident, a detection unit that detects the composite particles based on the image captured by the imaging unit.

A computational cytometer operates using magnetically modulated lensless speckle imaging, which introduces oscillatory motion to magnetic bead-conjugated rare cells of interest through a periodic magnetic force and uses lensless time-resolved holographic speckle imaging to rapidly detect the target cells in three-dimensions (3D). Detection specificity is further enhanced through a deep learning-based classifier that is based on a densely connected pseudo-3D convolutional neural network (P3D CNN), which automatically detects rare cells of interest based on their spatio-temporal features under a controlled magnetic force. This compact, cost-effective and high-throughput computational cytometer can be used for rare cell detection and quantification in bodily fluids for a variety of biomedical applications.

A computational cytometer operates using magnetically modulated lensless speckle imaging, which introduces oscillatory motion to magnetic bead-conjugated rare cells of interest through a periodic magnetic force and uses lensless time-resolved holographic speckle imaging to rapidly detect the target cells in three-dimensions (3D). Detection specificity is further enhanced through a deep learning-based classifier that is based on a densely connected pseudo-3D convolutional neural network (P3D CNN), which automatically detects rare cells of interest based on their spatio-temporal features under a controlled magnetic force. This compact, cost-effective and high-throughput computational cytometer can be used for rare cell detection and quantification in bodily fluids for a variety of biomedical applications.