spotdetector® bioapplication Search Results


99
Thermo Fisher spotdetector bioapplication
A. Hepa 1–6 cells were incubated with WT or IMC1h-KO sporozoites (spz) in the presence of rhodamine-dextran for two hours. The results are given as the percentage of cells filled with rhodamine-dextran (WT 2,500 spz, n = 3, 257 cells; IMC1h-KO 2,500 spz, n = 3, 234 cells; WT 5,000 spz, n = 3, 561 cells; IMC1h-KO 5,000 spz, n = 3, 403 cells). B. Hepa 1–6 cells invasion rate of WT and IMC1h-KO parasites at 50 hpi. are given as percentage of infected cells (WT, n = 6, 341 cells; IMC1h-KO, n = 6, 186 cells). C. Parasite area of WT and IMC1h-KO parasites in Hepa 1–6 cells at 30 and 50 hpi (WT 30 hpi n = 3, 181 cells; IMC1h-KO 30 hpi, n = 3, 99 cells; WT 50 hpi, n = 6, 341 cells; IMC1h-KO 50 hpi, n = 6, 186 cells). D. Average circularity of WT and IMC1h-KO parasites in Hepa 1–6 cells at 50 hpi. Mutant parasites displayed a lower circularity than WT parasites indicating a more irregular and elongated shape (WT 30 hpi n = 3, 181 cells; IMC1h-KO 30 hpi, n = 3, 99 cells; WT 50 hpi, n = 6, 341 cells; IMC1h-KO 50 hpi, n = 6, 186 cells). E. Cropped images acquired with Cellomics ArrayScan VTI HCS Reader show WT (left panel) and IMC1h-KO (right panel) GFP stained parasites. The parasite outline calculated by the <t>SpotDetector</t> <t>BioApplication</t> algorithm is depicted to the right of each image.
Spotdetector Bioapplication, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/spotdetector bioapplication/product/Thermo Fisher
Average 99 stars, based on 1 article reviews
spotdetector bioapplication - by Bioz Stars, 2026-04
99/100 stars
  Buy from Supplier

90
Thermo Fisher hcs studio software spotdetector bioapplication
Reagents and tools table
Hcs Studio Software Spotdetector Bioapplication, supplied by Thermo Fisher, 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/hcs studio software spotdetector bioapplication/product/Thermo Fisher
Average 90 stars, based on 1 article reviews
hcs studio software spotdetector bioapplication - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
Thermo Fisher spotdetectorv3 bioapplication software
Reagents and tools table
Spotdetectorv3 Bioapplication Software, supplied by Thermo Fisher, 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/spotdetectorv3 bioapplication software/product/Thermo Fisher
Average 90 stars, based on 1 article reviews
spotdetectorv3 bioapplication software - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
Thermo Fisher spotdetector® bioapplication
Reagents and tools table
Spotdetector® Bioapplication, supplied by Thermo Fisher, 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/spotdetector® bioapplication/product/Thermo Fisher
Average 90 stars, based on 1 article reviews
spotdetector® bioapplication - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
BioApplications Inc spotdetectortm algorithm
Reagents and tools table
Spotdetectortm Algorithm, supplied by BioApplications 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/spotdetectortm algorithm/product/BioApplications Inc
Average 90 stars, based on 1 article reviews
spotdetectortm algorithm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

86
Thermo Fisher spotdetector v3 bioapplication
Reagents and tools table
Spotdetector V3 Bioapplication, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/spotdetector v3 bioapplication/product/Thermo Fisher
Average 86 stars, based on 1 article reviews
spotdetector v3 bioapplication - by Bioz Stars, 2026-04
86/100 stars
  Buy from Supplier

90
Thermo Fisher cellinsight cx5 high content screening platform with spotdetector.v4 bioapplication
Reagents and tools table
Cellinsight Cx5 High Content Screening Platform With Spotdetector.V4 Bioapplication, supplied by Thermo Fisher, 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/cellinsight cx5 high content screening platform with spotdetector.v4 bioapplication/product/Thermo Fisher
Average 90 stars, based on 1 article reviews
cellinsight cx5 high content screening platform with spotdetector.v4 bioapplication - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
Thermo Fisher spotdetector v4 bioapplication
Schematic of High Content Analysis (HCA) image processing and analysis optimisation. To analyse the fluorescence intensity of EGFP-/tGFP- and tdTomato (tdT)/mCherry-fusion proteins and quantify protein inclusions containing fluorescent fusion proteins in NSC-34 cells, we deployed the Spot Detector <t>BioApplication</t> designed to analyse fluorescent foci in cells. Optimisation was carried out using images of NSC-34 cells triple-transfected to express H2B-ECFP, either SOD1 WT -EGFP, SOD1 A4V -EGFP, TDP-43 WT -tGFP TDP-43 M337V -tGFP, FUS WT -tGFP, FUS R495X -tGFP, FUS R521G -tGFP or EGFP alone and mCherry alone. Cells were imaged at 48 h post-transfection using a 20 × objective lens. ( a ) Raw images from Channels 1 (H2B-ECFP), 2 (EGFP-/tGFP-fusion proteins) and 3 (tdT/mCherry-fusion proteins) were first pre-processed to remove background fluorescence, exclude cells positioned on the border of each image from analysis and distinguish individual cells (‘object’ segmentation). Channel 1 images were additionally smoothed (blurred) to help reduce fluorescent noise that could lead to the false inclusion of image artefacts in subsequent analyses. ( b ) Biological ‘objects’, in this case cells, were identified using nuclear-localised H2B-ECFP fluorescence in Channel 1 images. To select viable transfected cells for analysis and exclude image artefacts, dead cells and cell debris, cells were selected based on the size and fluorescence intensity of their ECFP-fluorescent nuclei. ( c ) The relevant measures for GFP fluorescence intensity and fluorescent foci were measured in Channel 2 within a circular analysis mask that expanded the mask derived in Channel 1. The green circular mask indicates cells selected for analysis, while yellow masks indicate fluorescent foci/‘spots’ selected for analysis. To detect and analyse fluorescent foci corresponding to protein inclusions, upper and lower limits for size and fluorescence intensity were set. ( d ) Channel 3 objects were identified using the same mask as Channel 2.
Spotdetector V4 Bioapplication, supplied by Thermo Fisher, 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/spotdetector v4 bioapplication/product/Thermo Fisher
Average 90 stars, based on 1 article reviews
spotdetector v4 bioapplication - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
BioApplications Inc of small molecule aza-bodipy
Schematic of High Content Analysis (HCA) image processing and analysis optimisation. To analyse the fluorescence intensity of EGFP-/tGFP- and tdTomato (tdT)/mCherry-fusion proteins and quantify protein inclusions containing fluorescent fusion proteins in NSC-34 cells, we deployed the Spot Detector <t>BioApplication</t> designed to analyse fluorescent foci in cells. Optimisation was carried out using images of NSC-34 cells triple-transfected to express H2B-ECFP, either SOD1 WT -EGFP, SOD1 A4V -EGFP, TDP-43 WT -tGFP TDP-43 M337V -tGFP, FUS WT -tGFP, FUS R495X -tGFP, FUS R521G -tGFP or EGFP alone and mCherry alone. Cells were imaged at 48 h post-transfection using a 20 × objective lens. ( a ) Raw images from Channels 1 (H2B-ECFP), 2 (EGFP-/tGFP-fusion proteins) and 3 (tdT/mCherry-fusion proteins) were first pre-processed to remove background fluorescence, exclude cells positioned on the border of each image from analysis and distinguish individual cells (‘object’ segmentation). Channel 1 images were additionally smoothed (blurred) to help reduce fluorescent noise that could lead to the false inclusion of image artefacts in subsequent analyses. ( b ) Biological ‘objects’, in this case cells, were identified using nuclear-localised H2B-ECFP fluorescence in Channel 1 images. To select viable transfected cells for analysis and exclude image artefacts, dead cells and cell debris, cells were selected based on the size and fluorescence intensity of their ECFP-fluorescent nuclei. ( c ) The relevant measures for GFP fluorescence intensity and fluorescent foci were measured in Channel 2 within a circular analysis mask that expanded the mask derived in Channel 1. The green circular mask indicates cells selected for analysis, while yellow masks indicate fluorescent foci/‘spots’ selected for analysis. To detect and analyse fluorescent foci corresponding to protein inclusions, upper and lower limits for size and fluorescence intensity were set. ( d ) Channel 3 objects were identified using the same mask as Channel 2.
Of Small Molecule Aza Bodipy, supplied by BioApplications 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/of small molecule aza-bodipy/product/BioApplications Inc
Average 90 stars, based on 1 article reviews
of small molecule aza-bodipy - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
BioApplications Inc of raft polymerization
Schematic of High Content Analysis (HCA) image processing and analysis optimisation. To analyse the fluorescence intensity of EGFP-/tGFP- and tdTomato (tdT)/mCherry-fusion proteins and quantify protein inclusions containing fluorescent fusion proteins in NSC-34 cells, we deployed the Spot Detector <t>BioApplication</t> designed to analyse fluorescent foci in cells. Optimisation was carried out using images of NSC-34 cells triple-transfected to express H2B-ECFP, either SOD1 WT -EGFP, SOD1 A4V -EGFP, TDP-43 WT -tGFP TDP-43 M337V -tGFP, FUS WT -tGFP, FUS R495X -tGFP, FUS R521G -tGFP or EGFP alone and mCherry alone. Cells were imaged at 48 h post-transfection using a 20 × objective lens. ( a ) Raw images from Channels 1 (H2B-ECFP), 2 (EGFP-/tGFP-fusion proteins) and 3 (tdT/mCherry-fusion proteins) were first pre-processed to remove background fluorescence, exclude cells positioned on the border of each image from analysis and distinguish individual cells (‘object’ segmentation). Channel 1 images were additionally smoothed (blurred) to help reduce fluorescent noise that could lead to the false inclusion of image artefacts in subsequent analyses. ( b ) Biological ‘objects’, in this case cells, were identified using nuclear-localised H2B-ECFP fluorescence in Channel 1 images. To select viable transfected cells for analysis and exclude image artefacts, dead cells and cell debris, cells were selected based on the size and fluorescence intensity of their ECFP-fluorescent nuclei. ( c ) The relevant measures for GFP fluorescence intensity and fluorescent foci were measured in Channel 2 within a circular analysis mask that expanded the mask derived in Channel 1. The green circular mask indicates cells selected for analysis, while yellow masks indicate fluorescent foci/‘spots’ selected for analysis. To detect and analyse fluorescent foci corresponding to protein inclusions, upper and lower limits for size and fluorescence intensity were set. ( d ) Channel 3 objects were identified using the same mask as Channel 2.
Of Raft Polymerization, supplied by BioApplications 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/of raft polymerization/product/BioApplications Inc
Average 90 stars, based on 1 article reviews
of raft polymerization - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
Thermo Fisher bioapplication
Schematic of High Content Analysis (HCA) image processing and analysis optimisation. To analyse the fluorescence intensity of EGFP-/tGFP- and tdTomato (tdT)/mCherry-fusion proteins and quantify protein inclusions containing fluorescent fusion proteins in NSC-34 cells, we deployed the Spot Detector <t>BioApplication</t> designed to analyse fluorescent foci in cells. Optimisation was carried out using images of NSC-34 cells triple-transfected to express H2B-ECFP, either SOD1 WT -EGFP, SOD1 A4V -EGFP, TDP-43 WT -tGFP TDP-43 M337V -tGFP, FUS WT -tGFP, FUS R495X -tGFP, FUS R521G -tGFP or EGFP alone and mCherry alone. Cells were imaged at 48 h post-transfection using a 20 × objective lens. ( a ) Raw images from Channels 1 (H2B-ECFP), 2 (EGFP-/tGFP-fusion proteins) and 3 (tdT/mCherry-fusion proteins) were first pre-processed to remove background fluorescence, exclude cells positioned on the border of each image from analysis and distinguish individual cells (‘object’ segmentation). Channel 1 images were additionally smoothed (blurred) to help reduce fluorescent noise that could lead to the false inclusion of image artefacts in subsequent analyses. ( b ) Biological ‘objects’, in this case cells, were identified using nuclear-localised H2B-ECFP fluorescence in Channel 1 images. To select viable transfected cells for analysis and exclude image artefacts, dead cells and cell debris, cells were selected based on the size and fluorescence intensity of their ECFP-fluorescent nuclei. ( c ) The relevant measures for GFP fluorescence intensity and fluorescent foci were measured in Channel 2 within a circular analysis mask that expanded the mask derived in Channel 1. The green circular mask indicates cells selected for analysis, while yellow masks indicate fluorescent foci/‘spots’ selected for analysis. To detect and analyse fluorescent foci corresponding to protein inclusions, upper and lower limits for size and fluorescence intensity were set. ( d ) Channel 3 objects were identified using the same mask as Channel 2.
Bioapplication, supplied by Thermo Fisher, 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/bioapplication/product/Thermo Fisher
Average 90 stars, based on 1 article reviews
bioapplication - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


A. Hepa 1–6 cells were incubated with WT or IMC1h-KO sporozoites (spz) in the presence of rhodamine-dextran for two hours. The results are given as the percentage of cells filled with rhodamine-dextran (WT 2,500 spz, n = 3, 257 cells; IMC1h-KO 2,500 spz, n = 3, 234 cells; WT 5,000 spz, n = 3, 561 cells; IMC1h-KO 5,000 spz, n = 3, 403 cells). B. Hepa 1–6 cells invasion rate of WT and IMC1h-KO parasites at 50 hpi. are given as percentage of infected cells (WT, n = 6, 341 cells; IMC1h-KO, n = 6, 186 cells). C. Parasite area of WT and IMC1h-KO parasites in Hepa 1–6 cells at 30 and 50 hpi (WT 30 hpi n = 3, 181 cells; IMC1h-KO 30 hpi, n = 3, 99 cells; WT 50 hpi, n = 6, 341 cells; IMC1h-KO 50 hpi, n = 6, 186 cells). D. Average circularity of WT and IMC1h-KO parasites in Hepa 1–6 cells at 50 hpi. Mutant parasites displayed a lower circularity than WT parasites indicating a more irregular and elongated shape (WT 30 hpi n = 3, 181 cells; IMC1h-KO 30 hpi, n = 3, 99 cells; WT 50 hpi, n = 6, 341 cells; IMC1h-KO 50 hpi, n = 6, 186 cells). E. Cropped images acquired with Cellomics ArrayScan VTI HCS Reader show WT (left panel) and IMC1h-KO (right panel) GFP stained parasites. The parasite outline calculated by the SpotDetector BioApplication algorithm is depicted to the right of each image.

Journal: PLoS ONE

Article Title: The Alveolin IMC1h Is Required for Normal Ookinete and Sporozoite Motility Behaviour and Host Colonisation in Plasmodium berghei

doi: 10.1371/journal.pone.0041409

Figure Lengend Snippet: A. Hepa 1–6 cells were incubated with WT or IMC1h-KO sporozoites (spz) in the presence of rhodamine-dextran for two hours. The results are given as the percentage of cells filled with rhodamine-dextran (WT 2,500 spz, n = 3, 257 cells; IMC1h-KO 2,500 spz, n = 3, 234 cells; WT 5,000 spz, n = 3, 561 cells; IMC1h-KO 5,000 spz, n = 3, 403 cells). B. Hepa 1–6 cells invasion rate of WT and IMC1h-KO parasites at 50 hpi. are given as percentage of infected cells (WT, n = 6, 341 cells; IMC1h-KO, n = 6, 186 cells). C. Parasite area of WT and IMC1h-KO parasites in Hepa 1–6 cells at 30 and 50 hpi (WT 30 hpi n = 3, 181 cells; IMC1h-KO 30 hpi, n = 3, 99 cells; WT 50 hpi, n = 6, 341 cells; IMC1h-KO 50 hpi, n = 6, 186 cells). D. Average circularity of WT and IMC1h-KO parasites in Hepa 1–6 cells at 50 hpi. Mutant parasites displayed a lower circularity than WT parasites indicating a more irregular and elongated shape (WT 30 hpi n = 3, 181 cells; IMC1h-KO 30 hpi, n = 3, 99 cells; WT 50 hpi, n = 6, 341 cells; IMC1h-KO 50 hpi, n = 6, 186 cells). E. Cropped images acquired with Cellomics ArrayScan VTI HCS Reader show WT (left panel) and IMC1h-KO (right panel) GFP stained parasites. The parasite outline calculated by the SpotDetector BioApplication algorithm is depicted to the right of each image.

Article Snippet: For both assays the nuclei were counterstained with Hoechst 33342 (Molecular Probes/Invitrogen) after fixation and images of wells were automatically acquired with a Cellomics ArrayScan VTI HCS Reader (40×; 100 fields per well) and analyzed using the SpotDetector BioApplication (all from ThermoFisher) for number of cell nuclei and dextran-positive cells for the transmigration assay.

Techniques: Incubation, Infection, Mutagenesis, Staining

Reagents and tools table

Journal: EMBO Molecular Medicine

Article Title: Unraveling autophagic imbalances and therapeutic insights in Mecp2-deficient models

doi: 10.1038/s44321-024-00151-w

Figure Lengend Snippet: Reagents and tools table

Article Snippet: HCS Studio software using SpotDetector bioapplication , Thermo Fisher Scientific , .

Techniques: Control, Mutagenesis, Recombinant, Sequencing, Protease Inhibitor, Saline, Electron Microscopy, Western Blot, Software, Microscopy, Transmission Assay

Schematic of High Content Analysis (HCA) image processing and analysis optimisation. To analyse the fluorescence intensity of EGFP-/tGFP- and tdTomato (tdT)/mCherry-fusion proteins and quantify protein inclusions containing fluorescent fusion proteins in NSC-34 cells, we deployed the Spot Detector BioApplication designed to analyse fluorescent foci in cells. Optimisation was carried out using images of NSC-34 cells triple-transfected to express H2B-ECFP, either SOD1 WT -EGFP, SOD1 A4V -EGFP, TDP-43 WT -tGFP TDP-43 M337V -tGFP, FUS WT -tGFP, FUS R495X -tGFP, FUS R521G -tGFP or EGFP alone and mCherry alone. Cells were imaged at 48 h post-transfection using a 20 × objective lens. ( a ) Raw images from Channels 1 (H2B-ECFP), 2 (EGFP-/tGFP-fusion proteins) and 3 (tdT/mCherry-fusion proteins) were first pre-processed to remove background fluorescence, exclude cells positioned on the border of each image from analysis and distinguish individual cells (‘object’ segmentation). Channel 1 images were additionally smoothed (blurred) to help reduce fluorescent noise that could lead to the false inclusion of image artefacts in subsequent analyses. ( b ) Biological ‘objects’, in this case cells, were identified using nuclear-localised H2B-ECFP fluorescence in Channel 1 images. To select viable transfected cells for analysis and exclude image artefacts, dead cells and cell debris, cells were selected based on the size and fluorescence intensity of their ECFP-fluorescent nuclei. ( c ) The relevant measures for GFP fluorescence intensity and fluorescent foci were measured in Channel 2 within a circular analysis mask that expanded the mask derived in Channel 1. The green circular mask indicates cells selected for analysis, while yellow masks indicate fluorescent foci/‘spots’ selected for analysis. To detect and analyse fluorescent foci corresponding to protein inclusions, upper and lower limits for size and fluorescence intensity were set. ( d ) Channel 3 objects were identified using the same mask as Channel 2.

Journal: Scientific Reports

Article Title: High-content analysis of proteostasis capacity in cellular models of amyotrophic lateral sclerosis (ALS)

doi: 10.1038/s41598-024-64366-0

Figure Lengend Snippet: Schematic of High Content Analysis (HCA) image processing and analysis optimisation. To analyse the fluorescence intensity of EGFP-/tGFP- and tdTomato (tdT)/mCherry-fusion proteins and quantify protein inclusions containing fluorescent fusion proteins in NSC-34 cells, we deployed the Spot Detector BioApplication designed to analyse fluorescent foci in cells. Optimisation was carried out using images of NSC-34 cells triple-transfected to express H2B-ECFP, either SOD1 WT -EGFP, SOD1 A4V -EGFP, TDP-43 WT -tGFP TDP-43 M337V -tGFP, FUS WT -tGFP, FUS R495X -tGFP, FUS R521G -tGFP or EGFP alone and mCherry alone. Cells were imaged at 48 h post-transfection using a 20 × objective lens. ( a ) Raw images from Channels 1 (H2B-ECFP), 2 (EGFP-/tGFP-fusion proteins) and 3 (tdT/mCherry-fusion proteins) were first pre-processed to remove background fluorescence, exclude cells positioned on the border of each image from analysis and distinguish individual cells (‘object’ segmentation). Channel 1 images were additionally smoothed (blurred) to help reduce fluorescent noise that could lead to the false inclusion of image artefacts in subsequent analyses. ( b ) Biological ‘objects’, in this case cells, were identified using nuclear-localised H2B-ECFP fluorescence in Channel 1 images. To select viable transfected cells for analysis and exclude image artefacts, dead cells and cell debris, cells were selected based on the size and fluorescence intensity of their ECFP-fluorescent nuclei. ( c ) The relevant measures for GFP fluorescence intensity and fluorescent foci were measured in Channel 2 within a circular analysis mask that expanded the mask derived in Channel 1. The green circular mask indicates cells selected for analysis, while yellow masks indicate fluorescent foci/‘spots’ selected for analysis. To detect and analyse fluorescent foci corresponding to protein inclusions, upper and lower limits for size and fluorescence intensity were set. ( d ) Channel 3 objects were identified using the same mask as Channel 2.

Article Snippet: Phase contrast and fluorescent images from 20 fields of view per well were acquired, with image analysis parameters optimised using the SpotDetector V4 BioApplication in HCS Studio (Thermo Scientific) summarised in Fig. (further detail in Figure ).

Techniques: High Content Screening, Fluorescence, Transfection, Derivative Assay

Optimisation of High Content Analysis of Fluc-EGFP foci in transfected cells. Representative Cellomics ® ArrayScan™ VTI images showing SpotDetector BioApplication masks (first and third rows of each panel) used to identify and select NSC-34 cells co-transfected with either ( a ) SOD1 WT -tdTomato, ( b ) SOD1 A4V -tdTomato, ( c ) CCNF WT -mCherry or ( d ) CCNF S621G -mCherry and Fluc WT -EGFP, Fluc SM -EGFP or Fluc DM -EGFP. Cells were imaged at 48 h post-transfection. Green circular masks indicate cells selected for analysis, yellow masks indicate ‘spots’ selected for analysis, representing aggregates. Images were acquired using a 20 × objective lens.

Journal: Scientific Reports

Article Title: High-content analysis of proteostasis capacity in cellular models of amyotrophic lateral sclerosis (ALS)

doi: 10.1038/s41598-024-64366-0

Figure Lengend Snippet: Optimisation of High Content Analysis of Fluc-EGFP foci in transfected cells. Representative Cellomics ® ArrayScan™ VTI images showing SpotDetector BioApplication masks (first and third rows of each panel) used to identify and select NSC-34 cells co-transfected with either ( a ) SOD1 WT -tdTomato, ( b ) SOD1 A4V -tdTomato, ( c ) CCNF WT -mCherry or ( d ) CCNF S621G -mCherry and Fluc WT -EGFP, Fluc SM -EGFP or Fluc DM -EGFP. Cells were imaged at 48 h post-transfection. Green circular masks indicate cells selected for analysis, yellow masks indicate ‘spots’ selected for analysis, representing aggregates. Images were acquired using a 20 × objective lens.

Article Snippet: Phase contrast and fluorescent images from 20 fields of view per well were acquired, with image analysis parameters optimised using the SpotDetector V4 BioApplication in HCS Studio (Thermo Scientific) summarised in Fig. (further detail in Figure ).

Techniques: High Content Screening, Transfection

HCA analysis of Firefly luciferase mutants reports on chaperone network activity in NSC-34 cells expressing SOD1 and CCNF. ( a ) Numbers of Fluc-EGFP aggregates per 100 transfected cells, ( b ) mean size of Fluc-EGFP aggregates (µm 2 ) and ( c ) mean fluorescence intensity (FI) of Fluc-EGFP aggregates imaged at 48 h post-transfection in NSC-34 cells expressing Fluc WT -EGFP, Fluc SM -EGFP or Fluc DM -EGFP with (i) mCherry alone ± treatment with 5 µM MG132, (ii) SOD1 WT -tdTomato or SOD1 A4V -tdTomato or (iii) CCNF WT -mCherry or CCNF S621G -mCherry. Treatment with MG132 was carried out at 30 h post-transfection. For mock treatment, 5 µM DMSO was instead added to cells. Graphs represent the mean ± SEM from quadruplicate wells of cells in n = 1 experiment, analysed using Cellomics ® ArrayScan™ VTI and SpotDetector BioApplication. Differences between the means were determined using One-Way ANOVA followed by Tukey’s Multiple Comparison Test. * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. ( d ) Representative confocal images of Hoechst-stained NSC-34 cells expressing Fluc WT -EGFP, Fluc SM -EGFP or Fluc DM -EGFP with (i) SOD1 WT -tdTomato or SOD1 A4V -tdTomato or (ii) CCNF WT -mCherry or CCNF S621G -mCherry. Scale bars represent 10 µm.

Journal: Scientific Reports

Article Title: High-content analysis of proteostasis capacity in cellular models of amyotrophic lateral sclerosis (ALS)

doi: 10.1038/s41598-024-64366-0

Figure Lengend Snippet: HCA analysis of Firefly luciferase mutants reports on chaperone network activity in NSC-34 cells expressing SOD1 and CCNF. ( a ) Numbers of Fluc-EGFP aggregates per 100 transfected cells, ( b ) mean size of Fluc-EGFP aggregates (µm 2 ) and ( c ) mean fluorescence intensity (FI) of Fluc-EGFP aggregates imaged at 48 h post-transfection in NSC-34 cells expressing Fluc WT -EGFP, Fluc SM -EGFP or Fluc DM -EGFP with (i) mCherry alone ± treatment with 5 µM MG132, (ii) SOD1 WT -tdTomato or SOD1 A4V -tdTomato or (iii) CCNF WT -mCherry or CCNF S621G -mCherry. Treatment with MG132 was carried out at 30 h post-transfection. For mock treatment, 5 µM DMSO was instead added to cells. Graphs represent the mean ± SEM from quadruplicate wells of cells in n = 1 experiment, analysed using Cellomics ® ArrayScan™ VTI and SpotDetector BioApplication. Differences between the means were determined using One-Way ANOVA followed by Tukey’s Multiple Comparison Test. * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. ( d ) Representative confocal images of Hoechst-stained NSC-34 cells expressing Fluc WT -EGFP, Fluc SM -EGFP or Fluc DM -EGFP with (i) SOD1 WT -tdTomato or SOD1 A4V -tdTomato or (ii) CCNF WT -mCherry or CCNF S621G -mCherry. Scale bars represent 10 µm.

Article Snippet: Phase contrast and fluorescent images from 20 fields of view per well were acquired, with image analysis parameters optimised using the SpotDetector V4 BioApplication in HCS Studio (Thermo Scientific) summarised in Fig. (further detail in Figure ).

Techniques: Luciferase, Activity Assay, Expressing, Transfection, Fluorescence, Comparison, Staining