Method To Translate Biodynamic Spectrograms Into High-Content Information
US-2015127309-A1 · May 7, 2015 · US
US9723989B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9723989-B2 |
| Application number | US-201615000773-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 19, 2016 |
| Priority date | Jan 19, 2015 |
| Publication date | Aug 8, 2017 |
| Grant date | Aug 8, 2017 |
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In a method for ex vivo evaluation of tissue response, a target biological sample is placed in a chamber of a sample holder. Biodynamic imaging (BDI) is performed on the sample to extract BDI data of the entire sample, optical coherence imaging (OCI) data is generated from the BDI data; and then motility contrast imaging (MCI) data is generated from the OCI data. The MCI data is used to select an area of the ex vivo sample having the highest normalized standard deviation (NSD) value, indicative of a region of desirable responsiveness to a stimuli. The sample is subjected to a perturbation or external condition and an MCI analysis is performed on the selected area to determine the tissue response to the perturbation or external condition. In one aspect, the selected area or region of interest is obtained using a gradient descent method.
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What is claimed is: 1. A method for ex vivo evaluation of biological sample response to a stimuli comprising: obtaining a sample of a target biological sample and placing the sample in a chamber of a sample holder; performing biodynamic imaging (BDI) on the sample to extract BDI data of the entire sample; generating optical coherence imaging (OCI) data from the BDI data; generating motility contrast imaging (MCI) data from the OCI data; using the MCI data, selecting an area of the sample having the highest normalized standard deviation (NSD) value; subjecting the sample to a perturbation or external condition; and performing MCI analysis on the selected area to determine the biological sample response to the perturbation or external condition. 2. The method of claim 1 , wherein: the step of performing BDI on the sample includes obtaining 500 frames of digital hologram images of the sample; and the step of generating OCI data includes reading all 500 frames and performing OCI analysis. 3. The method of claim 2 , wherein the step of generating OCI data includes: calculating a back-scattered brightness of the OCI image; determining a mean intensity in the image; abandoning the area of the sample in the image if the mean intensity is less than a threshold value. 4. The method of claim 1 , wherein the step of generating MCI data includes: determining a mean NSD value for the image; and abandoning the area of the sample in the image if the mean NSD value is less than a threshold value. 5. The method of claim 1 , wherein the step of performing BDI includes determining a boundary of the biological sample within the chamber whereby the BDI scan can be limited to the boundary of the biological sample. 6. A method for ex vivo evaluation of biological sample response to a stimuli comprising: obtaining a sample of a target biological sample and placing the sample in a chamber of a sample holder; using an imaging device to obtain a stimuli response spectrogram for the biological sample; generating semi-local scalar fields from spectrograms from a plurality of limited areas or regions of interest (ROI) of the biological sample; constructing a spatial gradient operator using the semi-local scalar fields of the plurality of ROIs; using the spatial gradient operator, identifying a direction of maximum ascent or descent from a current ROI, and generating a unit gradient vector corresponding to the direction; moving the biological sample relative to the imaging device by one ROI radius (or diameter) in the direction of the unit gradient vector; generating another semi-local set of spectrograms and a new gradient vector at a new ROI, and iterating this step until a stationary region of the scalar field is reached; and then identifying a then current ROI as the primary ROI for the biological sample to evaluate or predict the response to the overall biological sample to a particular stimuli or response therapy. 7. An apparatus for selective imaging of an ex vivo biological sample, comprising: a sample holder including a chamber for holding the biological sample; a biodynamic imaging system operable to extract biodynamic imaging data of the sample within the chamber of the sample holder; a translation stage operable for at least relative x-y translation between the sample holder and the biodynamic imaging system; a computer interface operably connected to the biodynamic imaging system and the translation stage, and configured to execute program instructions operable to: perform motility contrast imaging and evaluation of the biological sample to generate a 3D spectrogram of the biological sample; calculate a gradient in the spectrogram for the biological sample; and activate the translation stage to iteratively translate the sample holder relative to the biodynamic imaging system to a plurality of regions of interest until a stationary point in the gradient is obtained.
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