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Yeasen Biotechnology live dead staining
In vitro and in vivo antibacterial efficacy of the therapeutic platform. (A) Photographs of S. aureus colonies after various treatments in vitro (scale bars: 30 mm). (B) Crystal violet-stained images of S. aureus biofilms (scale bars: 3 mm). (C-D) Quantitative analysis of S. aureus colonies (C) and biofilm staining (D) ( n = 3). (E) <t>Representative</t> <t>live/dead</t> staining images of S. aureus biofilms (scale bars: 400 μm). (F) SEM images of representative S. aureus morphology (scale bars: 2 μm). (G) Schematic illustration of the in vivo antibacterial process of the therapeutic platform. (H) Images of S. aureus colonies from infected wounds treated with different groups formulations combined with external stimuli (scale bars: 30 mm). (I) Photographs of infected wounds during healing and corresponding wound area diagrams (scale bars: 5 mm). (J) Wound closure rates of rats in various treatment groups over time ( n = 3). (K) Representative H&E and Masson's trichrome staining of wound tissues at day 9 post-treatment (scale bars: top-2 mm, mid-500 μm, and bot-500 μm). (L) Schematic diagram of the acoustic-photothermal-enhanced antibacterial mechanism. Data are expressed as the mean ± SD; ∗ P < 0.05, ∗∗∗ P < 0.001.
Live Dead Staining, supplied by Yeasen Biotechnology, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Images

1) Product Images from "A multimodal ROS logic-gated therapeutic platform disrupts the vicious cycle of senescence to promote aged bone defect repair"

Article Title: A multimodal ROS logic-gated therapeutic platform disrupts the vicious cycle of senescence to promote aged bone defect repair

Journal: Bioactive Materials

doi: 10.1016/j.bioactmat.2026.02.002

In vitro and in vivo antibacterial efficacy of the therapeutic platform. (A) Photographs of S. aureus colonies after various treatments in vitro (scale bars: 30 mm). (B) Crystal violet-stained images of S. aureus biofilms (scale bars: 3 mm). (C-D) Quantitative analysis of S. aureus colonies (C) and biofilm staining (D) ( n = 3). (E) Representative live/dead staining images of S. aureus biofilms (scale bars: 400 μm). (F) SEM images of representative S. aureus morphology (scale bars: 2 μm). (G) Schematic illustration of the in vivo antibacterial process of the therapeutic platform. (H) Images of S. aureus colonies from infected wounds treated with different groups formulations combined with external stimuli (scale bars: 30 mm). (I) Photographs of infected wounds during healing and corresponding wound area diagrams (scale bars: 5 mm). (J) Wound closure rates of rats in various treatment groups over time ( n = 3). (K) Representative H&E and Masson's trichrome staining of wound tissues at day 9 post-treatment (scale bars: top-2 mm, mid-500 μm, and bot-500 μm). (L) Schematic diagram of the acoustic-photothermal-enhanced antibacterial mechanism. Data are expressed as the mean ± SD; ∗ P < 0.05, ∗∗∗ P < 0.001.
Figure Legend Snippet: In vitro and in vivo antibacterial efficacy of the therapeutic platform. (A) Photographs of S. aureus colonies after various treatments in vitro (scale bars: 30 mm). (B) Crystal violet-stained images of S. aureus biofilms (scale bars: 3 mm). (C-D) Quantitative analysis of S. aureus colonies (C) and biofilm staining (D) ( n = 3). (E) Representative live/dead staining images of S. aureus biofilms (scale bars: 400 μm). (F) SEM images of representative S. aureus morphology (scale bars: 2 μm). (G) Schematic illustration of the in vivo antibacterial process of the therapeutic platform. (H) Images of S. aureus colonies from infected wounds treated with different groups formulations combined with external stimuli (scale bars: 30 mm). (I) Photographs of infected wounds during healing and corresponding wound area diagrams (scale bars: 5 mm). (J) Wound closure rates of rats in various treatment groups over time ( n = 3). (K) Representative H&E and Masson's trichrome staining of wound tissues at day 9 post-treatment (scale bars: top-2 mm, mid-500 μm, and bot-500 μm). (L) Schematic diagram of the acoustic-photothermal-enhanced antibacterial mechanism. Data are expressed as the mean ± SD; ∗ P < 0.05, ∗∗∗ P < 0.001.

Techniques Used: In Vitro, In Vivo, Staining, Infection



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Material characterization and biocompatibility assessment of GDY-Ivy Fiber Scaffold. (A) SEM characterization: Surface morphology and local magnification of PR, PO, and POGDY scaffolds. (B) SEM image of GDY. (C) SEM-EDS elemental mapping: Distribution of C and O elements and corresponding energy spectrum analysis of the conductive scaffolds for PR, PO, and POGDY groups. (D) FTIR spectra of PO, GDY, and POGDY samples. (E) XPS spectra: High-resolution C 1s spectra of PO, GDY, and POGDY samples. (F) Data analysis of water contact angles for PR, PO, and POGDY fiber membranes, n = 5, one-way ANOVA. (G) Contact angle images of the samples, GDY0.5 specifically labeled as POGDY. <t>(H)</t> <t>Live/dead</t> cell staining of neural stem cells on the fiber conductive scaffolds from each group. (I) Quantitative analysis of cell viability for each group, n = 5. (J) CCK-8 assay: Cell viability trend at 1, 3, and 5 days of culture in different groups, two-way ANOVA. ns, not significant, ∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001, n = 5.
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Image Search Results


Characterization, and Cytocompatibility Validation of HCOC. (A) Schematic illustration of the development of HCOC. (B) FTIR spectrum of OSA, CMCS and OC hydrogel. (C) Time-dependent evolution of gelation of OC and HCOC. (D) SEM images of HCOC and EDS mapping images of C, N, O and Cu for HCOC. (E) FTIR spectra of HC, OC and HCOC. (F) Dynamic frequency sweep measurements of OC and HCOC. (G) Frequency-dependent viscoelastic behavior of OC and HCOC. (H) Alternating strain sweep with alternating strains of 1% and 1000% at 100s intervals and (I) Self-healing behavior of HCOC. (J) Live/dead staining showing the metabolic activity of L929 and RAW 264.7 cells after treatment with HCOC for 48 h. Rates of proliferation of (K) L929 cells and (L) RAW 264.7 cells after treatment with PBS or HCOC. (∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001).

Journal: Bioactive Materials

Article Title: Smart microenvironment-adaptive nanocatalytic hydrogel for sequential antibacterial, anti-inflammatory, and regenerative therapy of biofilm-infected wounds

doi: 10.1016/j.bioactmat.2026.02.043

Figure Lengend Snippet: Characterization, and Cytocompatibility Validation of HCOC. (A) Schematic illustration of the development of HCOC. (B) FTIR spectrum of OSA, CMCS and OC hydrogel. (C) Time-dependent evolution of gelation of OC and HCOC. (D) SEM images of HCOC and EDS mapping images of C, N, O and Cu for HCOC. (E) FTIR spectra of HC, OC and HCOC. (F) Dynamic frequency sweep measurements of OC and HCOC. (G) Frequency-dependent viscoelastic behavior of OC and HCOC. (H) Alternating strain sweep with alternating strains of 1% and 1000% at 100s intervals and (I) Self-healing behavior of HCOC. (J) Live/dead staining showing the metabolic activity of L929 and RAW 264.7 cells after treatment with HCOC for 48 h. Rates of proliferation of (K) L929 cells and (L) RAW 264.7 cells after treatment with PBS or HCOC. (∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001).

Article Snippet: Following the protocol of the DMAO/PI Bacterial Live/Dead Staining Kit (Beyotime Biotechnology), the bacteria were incubated with a working solution containing both DMAO and PI dyes in the dark at room temperature for 15-20 min. Fluorescence microscopy imaging was subsequently carried out.

Techniques: Biomarker Discovery, Staining, Activity Assay

pH Self-Adaptive Antioxidant Capacity of HCOC (Stage II: anti-inflammation). Cu ion release behavior of (A) HC (1 mg/mL) and (B) HCOC (1 mg/mL) at different pH levels. (C) ABTS + and (D) H 2 O 2 scavenging activity at different pH of Cu 5.4 O, HC and HCOC. (E) O 2 ∙ - , (F)∙OH scavenging activity of Cu 5.4 O, HAs, HC, HCOC. (G) SOD-like, (H) CAT-like and (I) GPx-like activities of HCOC. (J) Fluorescence images showing intracellular ROS detection by DCFH-DA staining, live/dead staining images and (K) cell viability of L929 cells with different treatments (All groups received 500 μM H 2 O 2 and different HCOC concentrations (I: PBS; II: 0; III: 0.25; IV: 0.50; V: 1.0 mg/mL HCOC). (L) Quantitative analysis of the cells under different treatments. (∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001, ∗∗∗∗P < 0.0001) (M) Schematic illustration of pH-responsive activity and ROS scavenging and alleviating cellular oxidative stress of HCOC.

Journal: Bioactive Materials

Article Title: Smart microenvironment-adaptive nanocatalytic hydrogel for sequential antibacterial, anti-inflammatory, and regenerative therapy of biofilm-infected wounds

doi: 10.1016/j.bioactmat.2026.02.043

Figure Lengend Snippet: pH Self-Adaptive Antioxidant Capacity of HCOC (Stage II: anti-inflammation). Cu ion release behavior of (A) HC (1 mg/mL) and (B) HCOC (1 mg/mL) at different pH levels. (C) ABTS + and (D) H 2 O 2 scavenging activity at different pH of Cu 5.4 O, HC and HCOC. (E) O 2 ∙ - , (F)∙OH scavenging activity of Cu 5.4 O, HAs, HC, HCOC. (G) SOD-like, (H) CAT-like and (I) GPx-like activities of HCOC. (J) Fluorescence images showing intracellular ROS detection by DCFH-DA staining, live/dead staining images and (K) cell viability of L929 cells with different treatments (All groups received 500 μM H 2 O 2 and different HCOC concentrations (I: PBS; II: 0; III: 0.25; IV: 0.50; V: 1.0 mg/mL HCOC). (L) Quantitative analysis of the cells under different treatments. (∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001, ∗∗∗∗P < 0.0001) (M) Schematic illustration of pH-responsive activity and ROS scavenging and alleviating cellular oxidative stress of HCOC.

Article Snippet: Following the protocol of the DMAO/PI Bacterial Live/Dead Staining Kit (Beyotime Biotechnology), the bacteria were incubated with a working solution containing both DMAO and PI dyes in the dark at room temperature for 15-20 min. Fluorescence microscopy imaging was subsequently carried out.

Techniques: Activity Assay, Fluorescence, Staining

In vitro and in vivo antibacterial efficacy of the therapeutic platform. (A) Photographs of S. aureus colonies after various treatments in vitro (scale bars: 30 mm). (B) Crystal violet-stained images of S. aureus biofilms (scale bars: 3 mm). (C-D) Quantitative analysis of S. aureus colonies (C) and biofilm staining (D) ( n = 3). (E) Representative live/dead staining images of S. aureus biofilms (scale bars: 400 μm). (F) SEM images of representative S. aureus morphology (scale bars: 2 μm). (G) Schematic illustration of the in vivo antibacterial process of the therapeutic platform. (H) Images of S. aureus colonies from infected wounds treated with different groups formulations combined with external stimuli (scale bars: 30 mm). (I) Photographs of infected wounds during healing and corresponding wound area diagrams (scale bars: 5 mm). (J) Wound closure rates of rats in various treatment groups over time ( n = 3). (K) Representative H&E and Masson's trichrome staining of wound tissues at day 9 post-treatment (scale bars: top-2 mm, mid-500 μm, and bot-500 μm). (L) Schematic diagram of the acoustic-photothermal-enhanced antibacterial mechanism. Data are expressed as the mean ± SD; ∗ P < 0.05, ∗∗∗ P < 0.001.

Journal: Bioactive Materials

Article Title: A multimodal ROS logic-gated therapeutic platform disrupts the vicious cycle of senescence to promote aged bone defect repair

doi: 10.1016/j.bioactmat.2026.02.002

Figure Lengend Snippet: In vitro and in vivo antibacterial efficacy of the therapeutic platform. (A) Photographs of S. aureus colonies after various treatments in vitro (scale bars: 30 mm). (B) Crystal violet-stained images of S. aureus biofilms (scale bars: 3 mm). (C-D) Quantitative analysis of S. aureus colonies (C) and biofilm staining (D) ( n = 3). (E) Representative live/dead staining images of S. aureus biofilms (scale bars: 400 μm). (F) SEM images of representative S. aureus morphology (scale bars: 2 μm). (G) Schematic illustration of the in vivo antibacterial process of the therapeutic platform. (H) Images of S. aureus colonies from infected wounds treated with different groups formulations combined with external stimuli (scale bars: 30 mm). (I) Photographs of infected wounds during healing and corresponding wound area diagrams (scale bars: 5 mm). (J) Wound closure rates of rats in various treatment groups over time ( n = 3). (K) Representative H&E and Masson's trichrome staining of wound tissues at day 9 post-treatment (scale bars: top-2 mm, mid-500 μm, and bot-500 μm). (L) Schematic diagram of the acoustic-photothermal-enhanced antibacterial mechanism. Data are expressed as the mean ± SD; ∗ P < 0.05, ∗∗∗ P < 0.001.

Article Snippet: Live/dead staining (40747ES76) was purchased by Yeasen Biotechnology Co., Ltd (Shanghai, China).

Techniques: In Vitro, In Vivo, Staining, Infection

Material characterization and biocompatibility assessment of GDY-Ivy Fiber Scaffold. (A) SEM characterization: Surface morphology and local magnification of PR, PO, and POGDY scaffolds. (B) SEM image of GDY. (C) SEM-EDS elemental mapping: Distribution of C and O elements and corresponding energy spectrum analysis of the conductive scaffolds for PR, PO, and POGDY groups. (D) FTIR spectra of PO, GDY, and POGDY samples. (E) XPS spectra: High-resolution C 1s spectra of PO, GDY, and POGDY samples. (F) Data analysis of water contact angles for PR, PO, and POGDY fiber membranes, n = 5, one-way ANOVA. (G) Contact angle images of the samples, GDY0.5 specifically labeled as POGDY. (H) Live/dead cell staining of neural stem cells on the fiber conductive scaffolds from each group. (I) Quantitative analysis of cell viability for each group, n = 5. (J) CCK-8 assay: Cell viability trend at 1, 3, and 5 days of culture in different groups, two-way ANOVA. ns, not significant, ∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001, n = 5.

Journal: Materials Today Bio

Article Title: Graphdiyne-Ivy fiber neural scaffold promotes stem cell directed differentiation and neuronal maturation

doi: 10.1016/j.mtbio.2026.103022

Figure Lengend Snippet: Material characterization and biocompatibility assessment of GDY-Ivy Fiber Scaffold. (A) SEM characterization: Surface morphology and local magnification of PR, PO, and POGDY scaffolds. (B) SEM image of GDY. (C) SEM-EDS elemental mapping: Distribution of C and O elements and corresponding energy spectrum analysis of the conductive scaffolds for PR, PO, and POGDY groups. (D) FTIR spectra of PO, GDY, and POGDY samples. (E) XPS spectra: High-resolution C 1s spectra of PO, GDY, and POGDY samples. (F) Data analysis of water contact angles for PR, PO, and POGDY fiber membranes, n = 5, one-way ANOVA. (G) Contact angle images of the samples, GDY0.5 specifically labeled as POGDY. (H) Live/dead cell staining of neural stem cells on the fiber conductive scaffolds from each group. (I) Quantitative analysis of cell viability for each group, n = 5. (J) CCK-8 assay: Cell viability trend at 1, 3, and 5 days of culture in different groups, two-way ANOVA. ns, not significant, ∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001, n = 5.

Article Snippet: Cytotoxicity was assessed via Live/Dead double fluorescence staining (Servicebio, China), with live cells stained green and dead cells stained red.

Techniques: Labeling, Staining, CCK-8 Assay