10x Genomics, Inc.

Preyas Shah

Michael Schnall-Levin

Patrick Marks

Denis Pristinski

Zachary Bent

Paul Ryvkin

Yifeng Yin

Neil Ira Weisenfeld

Narek Dshkhunyan

Eswar Prasad Ramachandran Iyer

Alexander Y Wong

Kevin J Wu

Niranjan Srinivas

David Michael Patterson

Dongyao Li

Jasper Staab

Siyuan Xing

Dieter Wilk

Daniel P Riordan

Brynn Claypoole

Xiaoyan Qian

Stephen R Williams

Patrick J Marks

Steven William Short

Ian Fiddes

Erik Leonard Henrik Borgstrom

Florian Baumgartner

In embodiments, a method includes reading a nuclear segmentation mask of an image including pixels arranged in two dimensions. The nuclear segmentation mask identifies cellular nuclei stained with a cellular nucleus stain. The method includes determining amplitudes for each pixel. Each amplitude corresponds to exactly one dimension of the two dimensions. The method includes constructing a graph having nodes and edges. Each node corresponds to a pixel. Nodes corresponding to neighboring pixels are connected by an edge. The method includes assigning a weight to each edge. Each edge's weight is based on amplitudes of pixels corresponding to nodes connected thereby. The method further includes, based on the graph, determining, for each cellular nuclei, a heat map corresponding to a predicted cell region associated with that cellular nucleus. The method further includes based on the heat maps of the cellular nuclei, determining a cellular segmentation mask comprising predicted cell regions.

Systems and methods for image segmentation using multiple stain indicators

Methods and systems for performing in situ decoding are described that minimize optical crowding, thereby improving decoding accuracy. The methods may comprise, e.g., receiving images of a biological sample acquired during a cyclical decoding process; detecting a series of detectable signals (ON signals) or absence thereof (OFF signals) at one or more locations in the biological sample corresponding to one or more barcoded target analytes; determining a code word based on the series of ON and OFF signals that corresponds to a barcode for each of the one or more barcoded target analytes, where the one or more code words are assigned to the one or more barcoded target analytes based on a minimax decision rule to minimize a density of ON signals detected in the images of the series of images; and identifying the one or more barcoded target analytes based on the one or more determined code words.

In situ code design methods for minimizing optical crowding

Systems and methods are provided for targeting one or more features in a region of interest, and efficiently removing the features from an array of features. The systems and methods can remove one or more beads that contain analytes, intermediate agents, or a combination thereof, from the region of interest of a substrate by emitting light toward the beads on the substrate.

Spatial targeting of analytes

This disclosure provides methods for spatial profiling of biological analytes present in a biological sample. Methods include generating feature arrays using a master/copy format using recessed arrays, and methods for using such arrays. For example spatially-tagged analyte capture analytes can be used in spatial detection in methods to determine the location of analytes (e.g., proteins) in biological samples.

Methods of using master / copy arrays for spatial detection

Systems and methods for spatial analysis of analytes are provided. A data structure is obtained comprising an image, as an array of pixel values, of a sample on a substrate having a identifier, fiducial markers and a set of capture spots. The pixel values are used to identify derived fiducial spots. The substrate identifier identifies a template having reference positions for reference fiducial spots and a corresponding coordinate system. The derived fiducial spots are aligned with the reference fiducial spots using an alignment algorithm to obtain a transformation between the derived and reference fiducial spots. The transformation and the template corresponding coordinate system are used to register the image to the set of capture spots. The registered image is then analyzed in conjunction with spatial analyte data associated with each capture spot, thereby performing spatial analysis of analytes.

Systems and methods for spatial analysis of analytes using fiducial alignment

A visualization system comprising a persistent memory, storing a dataset, and a non-persistent memory implements a pattern visualizing method. The dataset contains discrete attribute values for each first entity of a first type in a plurality of first entities of the first type and discrete attribute values for each first entity of a second type in a plurality of first entities of the second type for each second entity in a plurality of second entities. The dataset is compressed by blocked compression and represents discrete attribute values in both compressed sparse row and column formats. The discrete attribute values are clustered to assign each second entity to a cluster in a plurality of clusters.

Systems and methods for visualizing a pattern in a dataset

The present disclosure provides methods and systems for nucleic acid preparation and analysis. Nucleic acid molecules may be derived from one or more cells. Preparation of nucleic acid molecules may comprise generation of one or more mutations, such as strand-specific mutations. Nucleic acid molecules may be prepared for and analyzed by sequencing. Sequences may be identified with nucleic acid orientation information.

Systems and methods for nucleic acid preparation and analysis

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Pleasanton, CA, United States of America

Preyas Shah