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Formlabs Inc 3d printed oct imaging plates
Viability assessment pipeline with biological assay validation. a. Proposed workflow for obtaining <t>D-OCT</t> viability mapping for non-destructive imaging. b. MCF-7 human breast adenocarcinoma cells were seeded in low-adherence U-bottom plate. Spheroids formed were subjected to viability challenges. c. Spheroids were loaded onto <t>custom</t> <t>3D-printed</t> plate for sequential volumetric OCT scans. Wells of 6 spheroids were imaged over 12 mins to acquire volumes at up to 32 time points. d. Trypan blue exclusion assay on dissociated spheroids paired with automated cell counter produced absolute quantitative viability measurements.
3d Printed Oct Imaging Plates, supplied by Formlabs Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/3d printed oct imaging plates/product/Formlabs Inc
Average 90 stars, based on 1 article reviews
3d printed oct imaging plates - by Bioz Stars, 2026-03
90/100 stars

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1) Product Images from "Non-destructive viability assessment of cancer cell spheroids using dynamic optical coherence tomography with trypan blue validation"

Article Title: Non-destructive viability assessment of cancer cell spheroids using dynamic optical coherence tomography with trypan blue validation

Journal: Biomedical Optics Express

doi: 10.1364/BOE.533339

Viability assessment pipeline with biological assay validation. a. Proposed workflow for obtaining D-OCT viability mapping for non-destructive imaging. b. MCF-7 human breast adenocarcinoma cells were seeded in low-adherence U-bottom plate. Spheroids formed were subjected to viability challenges. c. Spheroids were loaded onto custom 3D-printed plate for sequential volumetric OCT scans. Wells of 6 spheroids were imaged over 12 mins to acquire volumes at up to 32 time points. d. Trypan blue exclusion assay on dissociated spheroids paired with automated cell counter produced absolute quantitative viability measurements.
Figure Legend Snippet: Viability assessment pipeline with biological assay validation. a. Proposed workflow for obtaining D-OCT viability mapping for non-destructive imaging. b. MCF-7 human breast adenocarcinoma cells were seeded in low-adherence U-bottom plate. Spheroids formed were subjected to viability challenges. c. Spheroids were loaded onto custom 3D-printed plate for sequential volumetric OCT scans. Wells of 6 spheroids were imaged over 12 mins to acquire volumes at up to 32 time points. d. Trypan blue exclusion assay on dissociated spheroids paired with automated cell counter produced absolute quantitative viability measurements.

Techniques Used: Biomarker Discovery, Imaging, Trypan Blue Exclusion Assay, Produced

Normalisation techniques to decouple motion from intensity levels. a. Sample spheroids demonstrated results of 3 variance formulations on motion estimation. Relative deviation (Eq. ) exhibits similar patterns to intensity variation (Eq. ). Our regression-adjusted variance approach removed bias from low intensity near the bottom of spheroids. OCT images shown are illustrative examples and do not reflect the data distribution, which is better presented in the box plot. Colour bars were adjusted for optimal visual clarity. b. Median motion (Eq. ) distributions of 60 spheroids per viability insult group. MIV exhibits a large range, unable to discern between spheroid groups. Regression adjustment reduces spread and improves separation. Viability distribution obtained via trypan blue exclusion shows high correspondence with MAV distributions.
Figure Legend Snippet: Normalisation techniques to decouple motion from intensity levels. a. Sample spheroids demonstrated results of 3 variance formulations on motion estimation. Relative deviation (Eq. ) exhibits similar patterns to intensity variation (Eq. ). Our regression-adjusted variance approach removed bias from low intensity near the bottom of spheroids. OCT images shown are illustrative examples and do not reflect the data distribution, which is better presented in the box plot. Colour bars were adjusted for optimal visual clarity. b. Median motion (Eq. ) distributions of 60 spheroids per viability insult group. MIV exhibits a large range, unable to discern between spheroid groups. Regression adjustment reduces spread and improves separation. Viability distribution obtained via trypan blue exclusion shows high correspondence with MAV distributions.

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Formlabs Inc 3d printed oct imaging plates
Viability assessment pipeline with biological assay validation. a. Proposed workflow for obtaining <t>D-OCT</t> viability mapping for non-destructive imaging. b. MCF-7 human breast adenocarcinoma cells were seeded in low-adherence U-bottom plate. Spheroids formed were subjected to viability challenges. c. Spheroids were loaded onto <t>custom</t> <t>3D-printed</t> plate for sequential volumetric OCT scans. Wells of 6 spheroids were imaged over 12 mins to acquire volumes at up to 32 time points. d. Trypan blue exclusion assay on dissociated spheroids paired with automated cell counter produced absolute quantitative viability measurements.
3d Printed Oct Imaging Plates, supplied by Formlabs Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/3d printed oct imaging plates/product/Formlabs Inc
Average 90 stars, based on 1 article reviews
3d printed oct imaging plates - by Bioz Stars, 2026-03
90/100 stars
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Viability assessment pipeline with biological assay validation. a. Proposed workflow for obtaining D-OCT viability mapping for non-destructive imaging. b. MCF-7 human breast adenocarcinoma cells were seeded in low-adherence U-bottom plate. Spheroids formed were subjected to viability challenges. c. Spheroids were loaded onto custom 3D-printed plate for sequential volumetric OCT scans. Wells of 6 spheroids were imaged over 12 mins to acquire volumes at up to 32 time points. d. Trypan blue exclusion assay on dissociated spheroids paired with automated cell counter produced absolute quantitative viability measurements.

Journal: Biomedical Optics Express

Article Title: Non-destructive viability assessment of cancer cell spheroids using dynamic optical coherence tomography with trypan blue validation

doi: 10.1364/BOE.533339

Figure Lengend Snippet: Viability assessment pipeline with biological assay validation. a. Proposed workflow for obtaining D-OCT viability mapping for non-destructive imaging. b. MCF-7 human breast adenocarcinoma cells were seeded in low-adherence U-bottom plate. Spheroids formed were subjected to viability challenges. c. Spheroids were loaded onto custom 3D-printed plate for sequential volumetric OCT scans. Wells of 6 spheroids were imaged over 12 mins to acquire volumes at up to 32 time points. d. Trypan blue exclusion assay on dissociated spheroids paired with automated cell counter produced absolute quantitative viability measurements.

Article Snippet: The horizontal, vertical, and in-plane pixel dimensions were sampled at 256 × 256 × 256 px , resulting in a lateral pixel separation of 12.18 μ m and an axial separation was 6.996 μ m . Custom OCT imaging plates were 3D printed (Formlabs), with 3 × 3 × 0.5 mm well for spheroid imaging.

Techniques: Biomarker Discovery, Imaging, Trypan Blue Exclusion Assay, Produced

Normalisation techniques to decouple motion from intensity levels. a. Sample spheroids demonstrated results of 3 variance formulations on motion estimation. Relative deviation (Eq. ) exhibits similar patterns to intensity variation (Eq. ). Our regression-adjusted variance approach removed bias from low intensity near the bottom of spheroids. OCT images shown are illustrative examples and do not reflect the data distribution, which is better presented in the box plot. Colour bars were adjusted for optimal visual clarity. b. Median motion (Eq. ) distributions of 60 spheroids per viability insult group. MIV exhibits a large range, unable to discern between spheroid groups. Regression adjustment reduces spread and improves separation. Viability distribution obtained via trypan blue exclusion shows high correspondence with MAV distributions.

Journal: Biomedical Optics Express

Article Title: Non-destructive viability assessment of cancer cell spheroids using dynamic optical coherence tomography with trypan blue validation

doi: 10.1364/BOE.533339

Figure Lengend Snippet: Normalisation techniques to decouple motion from intensity levels. a. Sample spheroids demonstrated results of 3 variance formulations on motion estimation. Relative deviation (Eq. ) exhibits similar patterns to intensity variation (Eq. ). Our regression-adjusted variance approach removed bias from low intensity near the bottom of spheroids. OCT images shown are illustrative examples and do not reflect the data distribution, which is better presented in the box plot. Colour bars were adjusted for optimal visual clarity. b. Median motion (Eq. ) distributions of 60 spheroids per viability insult group. MIV exhibits a large range, unable to discern between spheroid groups. Regression adjustment reduces spread and improves separation. Viability distribution obtained via trypan blue exclusion shows high correspondence with MAV distributions.

Article Snippet: The horizontal, vertical, and in-plane pixel dimensions were sampled at 256 × 256 × 256 px , resulting in a lateral pixel separation of 12.18 μ m and an axial separation was 6.996 μ m . Custom OCT imaging plates were 3D printed (Formlabs), with 3 × 3 × 0.5 mm well for spheroid imaging.

Techniques: