Abstract: Disclosed herein are methods for quantifying total endotoxin load in a biofilm sample. Also provided are methods for identifying a gram-negative biofilm derived bacterial infection. The disclosed methods more accurately define actual total endotoxin levels and can detect the presence of endotoxin in a given biofilm volume at a higher resolution than current extraction techniques.

Abstract: Disclosed herein are methods for quantifying total endotoxin load in a biofilm sample. Also provided are methods for identifying a gram-negative biofilm derived bacterial infection. The disclosed methods more accurately define actual total endotoxin levels and can detect the presence of endotoxin in a given biofilm volume at a higher resolution than current extraction techniques.

Abstract: The present disclosure is directed to an oil-infused bacterial nanocellulose (BNC) material including a porous body comprising a three-dimensional network of bacterial nanocellulose fibers defining a plurality of interconnected pores; and, an oil infused within the plurality of pores. The present disclosure additionally describes a method of preparing an oil-infused BNC material that includes fermenting bacteria to form a porous body of bacterial nanocellulose fibers having a three-dimensional network defining a plurality of interconnected pores; mechanically pressing the porous body; dehydrating the porous body; and infusing the porous body with an oil infusion fluid including an oil so as to entrap the oil in the pores of the porous body forming an oil-infused BNC material.

Abstract: An approach is presented to recontruct image data for an object using a partial set of magnetic resonance (MR) measurements. A subset of data points in a data space representing an object are selected (e.g. through random sampling) for MR data acquisition. Partial MR data corresponding to the subset of data points is received and used for image reconstruction. The overall speed of image reconstruction can be reduced dramatically by relying on acquisition of data for the subset of data points rather than for all data points in the data space representing the object. Compressive sensing type arguments are used to fill in missing measurements, using a priori knowledge of the structure of the data. A compressed data matrix can be recovered from measurements that form a tight frame. It can be established that these measurements satisfy the restricted isometry property (RIP). The zeroth-order regularization minimization problem can then be solved, for example, using a 2D ILT approach.

Abstract: An approach is presented to reconstruct image data for an object using a partial set of magnetic resonance (MR) measurements. A subset of data points in a data space representing an object are selected (e.g. through random sampling) for MR data acquisition. Partial MR data corresponding to the subset of data points is received and used for image reconstruction. The overall speed of image reconstruction can be reduced dramatically by relying on acquisition of data for the subset of data points rather than for all data points in the data space representing the object. Compressive sensing type arguments are used to fill in missing measurements, using a priori knowledge of the structure of the data. A compressed data matrix can be recovered from measurements that form a tight frame. It can be established that these measurements satisfy the restricted isometry property (RIP). The zeroth-order regularization minimization problem can then be solved, for example, using a 2D ILT approach.

Abstract: An approach is presented to recontruct image data for an object using a partial set of magnetic resonance (MR) measurements. A subset of data points in a data space representing an object are selected (e.g. through random sampling) for MR data acquisition. Partial MR data corresponding to the subset of data points is received and used for image reconstruction. The overall speed of image reconstruction can be reduced dramatically by relying on acquisition of data for the subset of data points rather than for all data points in the data space representing the object. Compressive sensing type arguments are used to fill in missing measurements, using a priori knowledge of the structure of the data. A compressed data matrix can be recovered from measurements that form a tight frame. It can be established that these measurements satisfy the restricted isometry property (RIP). The zeroth-order regularization minimization problem can then be solved, for example, using a 2D ILT approach.

Abstract: The present disclosure describes an implant for tissue replacement or augmentation including a resorbable non-pyrogenic porous body of irradiated oxidized cellulose, formed from a precursor reactive mixture of irradiated cellulose and an oxidizing agent, where the body forms a heterogeneous three-dimensional fibrillar network.

Abstract: The present disclosure describes an implant for tissue replacement or augmentation including a resorbable non-pyrogenic porous body of irradiated oxidized cellulose, formed from a precursor reactive mixture of irradiated cellulose and an oxidizing agent, where the body forms a heterogeneous three-dimensional fibrillar network. Also disclosed is a method for producing a body of oxidized cellulose including irradiating a body of cellulose to form an irradiated body of cellulose, and reacting the irradiated body of cellulose with an oxidizing agent to form a non-pyrogenic porous and resorbable body of oxidized cellulose.

Abstract: An approach is presented to recontruct image data for an object using a partial set of magnetic resonance (MR) measurements. A subset of data points in a data space representing an object are selected (e.g. through random sampling) for MR data acquisition. Partial MR data corresponding to the subset of data points is received and used for image reconstruction. The overall speed of image reconstruction can be reduced dramatically by relying on acquisition of data for the subset of data points rather than for all data points in the data space representing the object. Compressive sensing type arguments are used to fill in missing measurements, using a priori knowledge of the structure of the data. A compressed data matrix can be recovered from measurements that form a tight frame. It can be established that these measurements satisfy the restricted isometry property (RIP). The zeroth-order regularization minimization problem can then be solved, for example, using a 2D ILT approach.

Abstract: The present disclosure describes an implant for tissue replacement or augmentation including a resorbable non-pyrogenic porous body of irradiated oxidized cellulose, formed from a precursor reactive mixture of irradiated cellulose and an oxidizing agent, where the body forms a heterogeneous three-dimensional fibrillar network. Also disclosed is a method for producing a body of oxidized cellulose including irradiating a body of cellulose to form an irradiated body of cellulose, and reacting the irradiated body of cellulose with an oxidizing agent to form a non-pyrogenic porous and resorbable body of oxidized cellulose.

Abstract: The present disclosure describes an implant for tissue replacement or augmentation including a resorbable non-pyrogenic porous body of irradiated oxidized cellulose, formed from a precurosr reactive mixture of irradiated cellulose and an oxidizing agent, where the body forms a heterogeneous three-dimensional fibrillar network. Also disclosed is a method for producing a body of oxidized cellulose including irradiating a body of cellulose to form an irradiated body of cellulose, and reacting the irradiated body of cellulose with an oxidizing agent to form a non-pyrogenic porous and resorbable body of oxidized cellulose.

Abstract: The present invention includes compositions and methods for the integration of a non-allergenic nanocellulose into a wound bed. The composition may be formed into a wide variety of implants, e.g., a suture, a sheet, a compress, a bandage, a band, a prosthesis, a fiber, a woven fiber, a bead, a strip, a clasp, a prosthesis, a catheter, a screw, a bone plate, a pin, a bandage or combinations thereof.

Abstract: The present disclosure describes an implant for tissue replacement or augmentation including a resorbable non-pyrogenic porous body of irradiated oxidized cellulose, formed from a precurosr reactive mixture of irradiated cellulose and an oxidizing agent, where the body forms a heterogeneous three-dimensional fibrillar network. Also disclosed is a method for producing a body of oxidized cellulose including irradiating a body of cellulose to form an irradiated body of cellulose, and reacting the irradiated body of cellulose with an oxidizing agent to form a non-pyrogenic porous and resorbable body of oxidized cellulose.

Abstract: The present invention includes compositions and methods for the integration of a non-allergenic nanocellulose into a wound bed. The composition may be formed into a wide variety of implants, e.g., a suture, a sheet, a compress, a bandage, a band, a prosthesis, a fiber, a woven fiber, a bead, a strip, a clasp, a prosthesis, a catheter, a screw, a bone plate, a pin, a bandage or combinations thereof.