US 2025/0061693 A1 · Simulated Optical Histopathology from Hyperspectral Chemical Imagery

Abstract

Embodiments are provided for determining simulated optical microscopy images of formalin-fixed paraffin embedded (FFPE) stained tissue samples from stimulated Raman scattering microscopy (SRSM) images of frozen tissue samples. These embodiments include applying the SRSM images to a first generative model to generate simulated optical microscopy images of thawed, stained tissue samples corresponding to the SRS imaged tissue samples. The simulated optical microscopy images are then applied to a second generative model to generate simulated FFPE microscopy images of the frozen tissue samples. Training methods are also provided to (i) generate the first generative model using paired training datasets of SRSM images and optical microscopy images of thawed, stained tissue samples, with each SRSM image depicting the same respective tissue sample as a corresponding optical microscopy image; and (ii) generate the second generative model using a training dataset of FFPE microscopy images and images output from the first generative model.

Claims20

Dependent claims

A method comprising:

obtaining a first training dataset that includes stimulated Raman scattering microscopy (SRSM) images of frozen tissue samples;
obtaining a second training dataset that includes optical microscopy images of thawed, stained tissue samples, wherein each optical microscopy image of the second training dataset depicts a respective same frozen tissue sample as a corresponding SRSM image of the first training dataset;
using the first training dataset and the second training dataset to train a first generative model to generate, from input SRSM images of frozen tissue samples, output model-generated images of thawed, stained tissue samples;
using the trained first generative model, generating a third training dataset that includes model-generated optical microscopy images of thawed, stained tissue samples;
obtaining a fourth training dataset that includes formalin-fixed paraffin embedded (FFPE) microscopy images of FFPE tissue samples;
and
using the third training dataset and the fourth training dataset to train a second generative model to generate, from input microscopy images of thawed, stained tissue samples, output model-generated images of FFPE tissue samples.

4 more elements

An article of manufacture including a computer-readable medium, having stored thereon program instructions that, upon execution by a computing device, cause the computing device to perform operations to effect a method comprising:

applying a stimulated Raman scattering microscopy (SRSM) image of a frozen tissue sample to a first generative model to generate an intermediate image, wherein the first generative model has been trained to generate, from input SRSM images of frozen tissue samples, output model-generated optical microscopy images of thawed, stained tissue samples;
and
applying the intermediate image to a second generative model to generate a model-generated formalin-fixed paraffin embedded (FFPE) microscopy image of the frozen tissue sample, wherein the second generative model has been trained to generate, from input optical microscopy images of thawed, stained tissue samples, output model-generated images of FFPE tissue samples.

Dependencies are inferred from the claim text.

Simulated Optical Histopathology from Hyperspectral Chemical Imagery

Life of this patent

Simulated Optical Histopathology from Hyperspectral Chemical Imagery

Life of this patent

Abstract

Claims20