Abstract:
A surfactant of formula (I): A-(L1)a-(CH2)b-(L2)c-X (I) wherein A is a perfluoropolyether; L1 is CONR′, wherein R′ is selected from H and C1-6 alkyl; a is 0 or 1; b is 0 or an integer between 1 and 10; L2 is a linking group; c is 0 or 1; and X is a charged group.
Abstract:
We describe a microfluidic structure for spacing out droplets, the structure comprising: a main channel for guiding droplets in a spacing fluid; a first inlet for introducing droplets into the main channel; and a second inlet for introducing a spacing fluid into the main channel, wherein a cross-sectional area of the main channel decreases downstream from the first inlet. We also describe a method of spacing out droplets using a microfluidic structure.
Abstract:
We describe a method comprising: providing a droplet comprising a plurality of constituents, splitting said droplet into a first droplet and a second droplet, wherein said first droplet comprises a first fraction of said plurality of constituents and said second droplet comprises a second fraction of said plurality of constituents, analysing said constituents of said first fraction of said plurality of constituents in said first droplet, and sorting said second droplet dependent on an outcome of said analysis.
Abstract:
This invention relates to methods and systems for providing chemical and/or biological materials. Thus we describe a method of providing a chemical or biological material in a quantized form, the method comprising: preparing an emulsion comprising a plurality of microdroplets each holding a controlled amount of said material; storing said chemical or biological material in said microdroplets in said emulsion; transferring a portion of said emulsion microdroplets to a container for transportation; transporting said container to a user of said material, wherein said user receives said material in a quantized form in said microdroplets of said emulsion; and de-emulsifying said received microdroplets containing said material in quantized form to extract said material for subsequent use.
Abstract:
A microfluidic structure for spacing out and aligning entities in an aqueous suspension is provided. The structure comprises: a channel for guiding entities in an aqueous suspension; a first comb of first inlets arranged on a first side of the channel for introducing a spacing medium into the channel; and a second comb of second inlets arranged on a second side of the channel for introducing the spacing medium into the channel; wherein the first side is opposite the second side, and wherein one of the first inlets has a corresponding, respective one of the second inlets at a substantially similar longitudinal position along the channel.
Abstract:
A method of label-free cell or particle sorting in a microfluidic device includes providing a stream of aqueous droplets in oil in a channel of the microfluidic device, wherein at least some of the droplets include cells or particles and illuminating the stream from a first direction. Then, one detects scattered light from cells or particles within said aqueous droplets in a second direction. Next, one determines a number of the cells or particles in each droplet from the scattered light and sorts the aqueous droplets into differentiated streams. Notably, the refractive index of said oil is modified to closely match a refractive index of the aqueous droplets to reduce light scattered from boundaries of the droplets. A volume of the droplets can also controlled.
Abstract:
This invention relates to methods and systems for providing chemical and/or biological materials. Thus we describe a method of providing a chemical or biological material in a quantised form, the method comprising: preparing an emulsion comprising a plurality of microdroplets each holding a controlled amount of said material; storing said chemical or biological material in said microdroplets in said emulsion; transferring a portion of said emulsion microdroplets to a container for transportation; transporting said container to a user of said material, wherein said user receives said material in a quantised form in said microdroplets of said emulsion; and de-emulsifying said received microdroplets containing said material in quantised form to extract said material for subsequent use.
Abstract:
ABSTRACT: An instrument for processing droplets in a microfluidic system. The instrument captures a time sequence of images of a droplet as it passes through a channel in a microfluidic system. The instrument also processes each image of the sequence of images using a convolutional neural network to count a number of cells or other entities visible in each image the droplet. This involves processing the count of the number of cells or other entities visible in each image of the droplet to determine an estimated number of cells or other entities in the droplet. The instrument controls a microfluidic process performed on the droplet, e.g. droplet dispensing, responsive to the estimated number of cells or other entities in the droplet. The instrument uses the changing orientation and disposition of droplet contents in combination with machine learning to improve monoclonality assurance.
Abstract:
The present invention provides a surfactant having a formula selected from the group consisting of: B—((X)x—(CH2)a-A)n(VI), (A-(CH2)a—(X)x—B—(X)x—(CH2)a-A)n (IV), (A-(CH2)a—(X)x—B)n (V), and (B)n—(X)x—(CH2)a-A (VII), wherein A is a perfluoropolyether; a is a positive integer; X is either a covalent bond or a linking group; x is a positive integer; B is a polyalkylene oxide unit; n is a positive integer greater than 1 and, in compounds comprising more than one A, B, X, a and x, each may be the same or different. The present invention also relates to methods of making such surfactants, uses of such surfactants and emulsions comprising such surfactants.
Abstract:
A method of processing droplets in a microfluidic system. The method may comprise capturing a time sequence of images of a droplet as it passes through a channel in a microfluidic system. The method may further comprise processing each image of the sequence of images using a convolutional neural network to count a number of cells or other entities visible in each image the droplet. The method may further comprise processing the count of the number of cells or other entities visible in each image of the droplet to determine an estimated number of cells or other entities in the droplet. The method/system may further comprise controlling a microfluidic process performed on the droplet responsive to the estimated number of cells or other entities in the droplet. Implementations of the method use the changing orientation and disposition of droplet contents in combination with machine learning to improve monoclonality assurance.