Systems and methods for single molecule quantification
A method for quantifying labels on a substrate is performed by an electronic device with one or more processors and memory. The method includes obtaining digital data corresponding to a multi-dimensional measurement over the substrate; identifying a first set of sub-portions of the digital data; and, for a respective sub-portion of the first set of sub-portions of the digital data: increasing a quantity of labels, and subtracting a reference signal distribution from the respective sub-portion to obtain subtracted sub-portion data. The method also includes obtaining subtracted digital data. The subtracted digital data includes the subtracted sub-portion data for the respective sub-portion. The method further includes identifying a second set of one or more sub-portions of the subtracted digital data; and, for a respective sub-portion of the second set of one or more sub-portions of the subtracted digital data, increasing a quantity of labels.
1 . A method of determining an amount of individual optically active dye labels immobilized on a substrate, the method comprising:
at an electronic device with one or more processors and memory:
(a) obtaining digital image data corresponding to an image of the substrate, wherein the digital image data comprises an array of intensity values, wherein each intensity value of the array is associated with a location on the substrate;
(b) segmenting the digital image data into a plurality of regions, each comprising an intensity value that is above a predefined threshold;
(c) for each of the plurality of regions:
(i) providing a count of one optically active dye label; and
(ii) subtracting a reference signal distribution from the intensity value to obtain one or more adjusted intensity values, wherein the reference signal distribution corresponds to a point spread function of a single optically active dye label;
(iii) identifying one or more of the adjusted intensity values comprising a value above the predefined threshold; and
(iv) increasing the count by one for each of the one or more adjusted intensity values identified in (iii).
2 . The method of claim 1 , wherein the intensity value comprises a distribution.
3 . The method of claim 1 , wherein the intensity value comprises one or more peak intensity values.
4 . The method of claim 3 , wherein the reference signal distribution is subtracted from each of the one or more peak intensity values to obtain the one or more adjusted intensity values.
5 . The method of claim 1 , wherein the intensity value comprises an average, median or maximum intensity value.
6 . The method of claim 1 , wherein the image is a two-dimensional image or a three-dimensional image.
7 . The method of claim 1 , wherein the segmenting of (b) comprises use of a watershed method or a Minimum Spanning Forest method.
8 . The method of claim 1 , wherein (c) further comprises, for each of the plurality of regions:
(v) subtracting the reference signal distribution from each of the one or more adjusted intensity values identified in (iii) to provide one or more second adjusted intensity values;
(vi) identifying one or more of the second adjusted intensity values comprising a value above the predefined threshold; and
(vii) increasing the count by one for each of the one or more second adjusted intensity values identified in (vi).
9 . The method of claim 1 , further comprising determining a sum of the count for all of the plurality of regions.
10 . An electronic device, comprising:
one or more processors, and
memory storing one or more programs for execution by the one or more processors, the one or more programs including instructions for performing the method of claim 1 .
11 . A computer readable storage medium, storing one or more programs for execution by one or more processors of an electronic device, the one or more programs including instructions for performing the method of claim 1 .
12 . The computer readable storage medium of claim 11 , wherein the computer readable storage medium includes a non-transitory computer readable storage medium.
13 . The method of claim 1 , wherein the method comprises performing a genetic analysis.
14 . The method of claim 1 , wherein the method comprises identifying rare genetic events.
15 . The method of claim 1 , wherein the method comprises identifying heterogeneous events.
16 . The method of claim 1 , wherein the method comprises analyzing a complex genetic sample.
17 . The method of claim 16 , wherein the complex genetic sample is genomic DNA, cfDNA, or mRNA.
18 . The method of claim 1 , wherein the method comprises identifying specific characteristics of individual molecules.
19 . The method of claim 1 , wherein the method comprises detecting transient processes.