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immunofluorescence microscopy  (Motic Group)

 
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    Motic Group immunofluorescence microscopy
    Immunofluorescence Microscopy, supplied by Motic Group, 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/product/immunofluorescence+microscopy/immunofluorescence+microscopy/pm42117855-119-12-14
    Average 86 stars, based on 1 article reviews
    immunofluorescence microscopy - by Bioz Stars, 2026-10
    86/100 stars

    Images

    Related Articles

    Immunofluorescence:

    Article Title: Quzhou Aurantii Fructus Extract Attenuates Idiopathic Pulmonary Fibrosis by Regulating Nrf2/HO-1 Axis.
    Article Snippet: Secondary Alexa Fluor® 555-goat anti-Rabbit IgG (1:1000, ab150078, Abcam, Cambridge, UK) was then used to treat these samples at ambient temperature for 1 h while protected from light, followed by counterstaining for 10 min with DAPI (Bioss). .. Anti-fluorescence quenching medium was employed to seal slides, which were imaged via immunofluorescence microscopy (Motic, Xiamen, China). .. Following HFL-1 cell transfection, an EZ-10 Total RNA Mini-Prep Kit (B618583, Sangon, Shanghai, China) was used to extract mRNA based on the provided directions, and 1 μg of RNA per sample was processed with a HiFiScript cDNA Synthesis Kit (CW2569, CWbio, Taizhou, China) to prepare cDNA.

    Article Title: Survey of the Occurrence and Human Infective Potential of Giardia duodenalis and Cryptosporidium spp. in Wastewater and Different Surface Water Sources of Western Romania.
    Article Snippet: From the group of parasitic protozoa, Giardia and Cryptosporidium are the most common pathogens spread in surface water sources, representing a continuous threat to public health and water authorities.. The aim of this survey was to assess the occurrence and human infective potential of these pathogens in treated wastewaters and different surface water sources.. A total of 76 western Romanian water bodies in four counties (Arad, Bihor, Caras,-Severin and Timis,) were investigated, including the effluents of wastewater treatment plants (n = 11) and brooks (n = 19), irrigation channels (n = 8), lakes (n = 16), and ponds (n = 22).

    Microscopy:

    Article Title: Quzhou Aurantii Fructus Extract Attenuates Idiopathic Pulmonary Fibrosis by Regulating Nrf2/HO-1 Axis.
    Article Snippet: Secondary Alexa Fluor® 555-goat anti-Rabbit IgG (1:1000, ab150078, Abcam, Cambridge, UK) was then used to treat these samples at ambient temperature for 1 h while protected from light, followed by counterstaining for 10 min with DAPI (Bioss). .. Anti-fluorescence quenching medium was employed to seal slides, which were imaged via immunofluorescence microscopy (Motic, Xiamen, China). .. Following HFL-1 cell transfection, an EZ-10 Total RNA Mini-Prep Kit (B618583, Sangon, Shanghai, China) was used to extract mRNA based on the provided directions, and 1 μg of RNA per sample was processed with a HiFiScript cDNA Synthesis Kit (CW2569, CWbio, Taizhou, China) to prepare cDNA.

    Article Title: Survey of the Occurrence and Human Infective Potential of Giardia duodenalis and Cryptosporidium spp. in Wastewater and Different Surface Water Sources of Western Romania.
    Article Snippet: From the group of parasitic protozoa, Giardia and Cryptosporidium are the most common pathogens spread in surface water sources, representing a continuous threat to public health and water authorities.. The aim of this survey was to assess the occurrence and human infective potential of these pathogens in treated wastewaters and different surface water sources.. A total of 76 western Romanian water bodies in four counties (Arad, Bihor, Caras,-Severin and Timis,) were investigated, including the effluents of wastewater treatment plants (n = 11) and brooks (n = 19), irrigation channels (n = 8), lakes (n = 16), and ponds (n = 22).



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    ( A ) Left : Protein–protein interaction network centered on P4HA2, illustrating its context-dependent interactions with ER- and nucleoplasm-localized proteins. Right : Real P4HA2 images (red border) and ProtiCelli -generated images of ten interaction partners for two representative cells, grouped by interaction context (gold: ER/collagen; blue: mRNA processing). The rightmost column shows the binarized spatial interaction overlap between P4HA2 and the mean projection of proteins within partner groups. Scale bar, 10 µm. ( B ) Representative real and ProtiCelli -generated fluorescence <t>microscopy</t> images for four proteins (MECP2, BABAM2, YWHAB, BPTF) under Paclitaxel, untreated, and Vorinostat conditions, demonstrating the model’s ability to capture single-cell expression variance across treatment contexts. Scale bar, 10 µm. ( C ) Boxplots comparing ProtiCelli -generated versus real normalized protein intensities for ten representative proteins across treatment conditions. Median values are annotated; statistical significance (Mann-Whitney U test) is indicated by bracket annotations. ( D ) Scatter plots comparing average foreground intensity between real and ProtiCelli -generated images for twelve cell cycle-regulated proteins. Each point represents one single cell and the red line denotes the linear fit with 95% confidence interval. Pearson correlation coefficients ( r ) are reported per protein. ( E ) Representative real and ProtiCelli -generated <t>immunofluorescence</t> images of the FUCCI markers CDT1 (A-549) and GMNN (MDA-MB-467). Protein signal is shown in green; microtubule staining (red), derived from real images, is identical across all panels. Scale bar, 10 µm. ( F, G ) Generated versus measured FUCCI marker intensities of CDT1 and Geminin (GMNN) across cell cycle stages (G1, G1/S, G2) without fine-tuning, after fine-tuning, and for real images, in A-549 ( F ) and MDA-MB-468 ( G ) cell lines. Fine-tuned ProtiCelli accurately capture cell-cycle-dependent expression dynamics for both markers. Significance was determined using the Mann-Whitney U test.
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    Image Search Results


    ( A ) Left : Protein–protein interaction network centered on P4HA2, illustrating its context-dependent interactions with ER- and nucleoplasm-localized proteins. Right : Real P4HA2 images (red border) and ProtiCelli -generated images of ten interaction partners for two representative cells, grouped by interaction context (gold: ER/collagen; blue: mRNA processing). The rightmost column shows the binarized spatial interaction overlap between P4HA2 and the mean projection of proteins within partner groups. Scale bar, 10 µm. ( B ) Representative real and ProtiCelli -generated fluorescence microscopy images for four proteins (MECP2, BABAM2, YWHAB, BPTF) under Paclitaxel, untreated, and Vorinostat conditions, demonstrating the model’s ability to capture single-cell expression variance across treatment contexts. Scale bar, 10 µm. ( C ) Boxplots comparing ProtiCelli -generated versus real normalized protein intensities for ten representative proteins across treatment conditions. Median values are annotated; statistical significance (Mann-Whitney U test) is indicated by bracket annotations. ( D ) Scatter plots comparing average foreground intensity between real and ProtiCelli -generated images for twelve cell cycle-regulated proteins. Each point represents one single cell and the red line denotes the linear fit with 95% confidence interval. Pearson correlation coefficients ( r ) are reported per protein. ( E ) Representative real and ProtiCelli -generated immunofluorescence images of the FUCCI markers CDT1 (A-549) and GMNN (MDA-MB-467). Protein signal is shown in green; microtubule staining (red), derived from real images, is identical across all panels. Scale bar, 10 µm. ( F, G ) Generated versus measured FUCCI marker intensities of CDT1 and Geminin (GMNN) across cell cycle stages (G1, G1/S, G2) without fine-tuning, after fine-tuning, and for real images, in A-549 ( F ) and MDA-MB-468 ( G ) cell lines. Fine-tuned ProtiCelli accurately capture cell-cycle-dependent expression dynamics for both markers. Significance was determined using the Mann-Whitney U test.

    Journal: bioRxiv

    Article Title: Generative machine learning unlocks the first proteome-wide image of human cells

    doi: 10.64898/2026.03.31.715748

    Figure Lengend Snippet: ( A ) Left : Protein–protein interaction network centered on P4HA2, illustrating its context-dependent interactions with ER- and nucleoplasm-localized proteins. Right : Real P4HA2 images (red border) and ProtiCelli -generated images of ten interaction partners for two representative cells, grouped by interaction context (gold: ER/collagen; blue: mRNA processing). The rightmost column shows the binarized spatial interaction overlap between P4HA2 and the mean projection of proteins within partner groups. Scale bar, 10 µm. ( B ) Representative real and ProtiCelli -generated fluorescence microscopy images for four proteins (MECP2, BABAM2, YWHAB, BPTF) under Paclitaxel, untreated, and Vorinostat conditions, demonstrating the model’s ability to capture single-cell expression variance across treatment contexts. Scale bar, 10 µm. ( C ) Boxplots comparing ProtiCelli -generated versus real normalized protein intensities for ten representative proteins across treatment conditions. Median values are annotated; statistical significance (Mann-Whitney U test) is indicated by bracket annotations. ( D ) Scatter plots comparing average foreground intensity between real and ProtiCelli -generated images for twelve cell cycle-regulated proteins. Each point represents one single cell and the red line denotes the linear fit with 95% confidence interval. Pearson correlation coefficients ( r ) are reported per protein. ( E ) Representative real and ProtiCelli -generated immunofluorescence images of the FUCCI markers CDT1 (A-549) and GMNN (MDA-MB-467). Protein signal is shown in green; microtubule staining (red), derived from real images, is identical across all panels. Scale bar, 10 µm. ( F, G ) Generated versus measured FUCCI marker intensities of CDT1 and Geminin (GMNN) across cell cycle stages (G1, G1/S, G2) without fine-tuning, after fine-tuning, and for real images, in A-549 ( F ) and MDA-MB-468 ( G ) cell lines. Fine-tuned ProtiCelli accurately capture cell-cycle-dependent expression dynamics for both markers. Significance was determined using the Mann-Whitney U test.

    Article Snippet: Large-scale initiatives such as the Human Protein Atlas (HPA) have systematically mapped protein expression and subcellular localization across human cell types using immunofluorescence (IF) microscopy, imaging one protein at a time alongside reference markers that delineate cellular landmarks ( , ).

    Techniques: Generated, Fluorescence, Microscopy, Single Cell, Expressing, MANN-WHITNEY, Immunofluorescence, Staining, Derivative Assay, Marker