Journal: STAR Protocols

Article Title: Protocol for 3D-guided sectioning and deep cell phenotyping via light sheet imaging and 2D spatial multiplexing

doi: 10.1016/j.xpro.2025.104296

Figure Lengend Snippet: Illustration of MACSima™ Imaging Cyclic Staining (MICS) principle MICS technology was applied (Step 46). (0) Image acquisition of 3D-IF staining in autofluorescence channel, followed by Photobleaching. (2–4) Multi-cyclic imaging: Rounds of 2D-IF staining with FITC, PE and APC coupled antibody fluorochrome-conjugate, image acquisition of respective FITC, PE and APC-channels and signal erasure by photobleaching.

Article Snippet: Figure 7 3D light sheet and 2D multi-cyclic imaging data comparison (Mouse Glioblastoma) (A) Imaris 3D surface rendering of autofluorescence (cyan) and glioblastoma target cells stained with anti-GFP-Alexa Fluor 647 nanobody (red). (B) Imaris 3D surface rendering of autofluorescence (cyan) and glioblastoma target cells stained with anti-GFP-Alexa Fluor 647 nanobody (red) with target plane in yellow. (C) Optical section of target plane of interest. (D) Fluorescence image of physical cryosection. (E) MICS image of section shown in D. (F) MICS image indicating anti-GFP-Alexa Fluor 647 nanobody (red) staining. (G) Magnified merged four color multiparameter MICS image with anti-EGFR (magenta), anti-GFAP (green), anti-NeuN (blue), anti-CD146 (yellow). (H–P) Nine exemplary MICS images with merges of anti-GFP-Alexa Fluor 647 nanobody staining (red) and antibody-conjugates against EGFR (H), Neurofilament (I), Nestin (J), GFAP (K), CD44 (L), CD146 (M), NeuN (N), EphA2 (O) and GLAST (P) (gray) (see “Antibodies”).

Techniques: Imaging, Staining

Journal: STAR Protocols

Article Title: Protocol for 3D-guided sectioning and deep cell phenotyping via light sheet imaging and 2D spatial multiplexing

doi: 10.1016/j.xpro.2025.104296

Figure Lengend Snippet: 3D light sheet and 2D multi-cyclic imaging data comparison (Mouse Glioblastoma) (A) Imaris 3D surface rendering of autofluorescence (cyan) and glioblastoma target cells stained with anti-GFP-Alexa Fluor 647 nanobody (red). (B) Imaris 3D surface rendering of autofluorescence (cyan) and glioblastoma target cells stained with anti-GFP-Alexa Fluor 647 nanobody (red) with target plane in yellow. (C) Optical section of target plane of interest. (D) Fluorescence image of physical cryosection. (E) MICS image of section shown in D. (F) MICS image indicating anti-GFP-Alexa Fluor 647 nanobody (red) staining. (G) Magnified merged four color multiparameter MICS image with anti-EGFR (magenta), anti-GFAP (green), anti-NeuN (blue), anti-CD146 (yellow). (H–P) Nine exemplary MICS images with merges of anti-GFP-Alexa Fluor 647 nanobody staining (red) and antibody-conjugates against EGFR (H), Neurofilament (I), Nestin (J), GFAP (K), CD44 (L), CD146 (M), NeuN (N), EphA2 (O) and GLAST (P) (gray) (see “Antibodies”). Scale bars: (A–F) 500 μm; (G) 50 μm; (H–P) 500 μm.

Article Snippet: Figure 7 3D light sheet and 2D multi-cyclic imaging data comparison (Mouse Glioblastoma) (A) Imaris 3D surface rendering of autofluorescence (cyan) and glioblastoma target cells stained with anti-GFP-Alexa Fluor 647 nanobody (red). (B) Imaris 3D surface rendering of autofluorescence (cyan) and glioblastoma target cells stained with anti-GFP-Alexa Fluor 647 nanobody (red) with target plane in yellow. (C) Optical section of target plane of interest. (D) Fluorescence image of physical cryosection. (E) MICS image of section shown in D. (F) MICS image indicating anti-GFP-Alexa Fluor 647 nanobody (red) staining. (G) Magnified merged four color multiparameter MICS image with anti-EGFR (magenta), anti-GFAP (green), anti-NeuN (blue), anti-CD146 (yellow). (H–P) Nine exemplary MICS images with merges of anti-GFP-Alexa Fluor 647 nanobody staining (red) and antibody-conjugates against EGFR (H), Neurofilament (I), Nestin (J), GFAP (K), CD44 (L), CD146 (M), NeuN (N), EphA2 (O) and GLAST (P) (gray) (see “Antibodies”).

Techniques: Imaging, Comparison, Staining, Fluorescence

Journal: STAR Protocols

Article Title: Protocol for 3D-guided sectioning and deep cell phenotyping via light sheet imaging and 2D spatial multiplexing

doi: 10.1016/j.xpro.2025.104296

Figure Lengend Snippet: 3D light sheet and 2D multi-cyclic imaging data comparison (Human OvCa) (A) Imaris 3D surface rendering of autofluorescence (cyan) and CD326 positive cells (red). (B) Imaris 3D surface rendering of autofluorescence (cyan) with target plane in yellow. (C) Light sheet guided target plane selection representing CD326 positive cell (purple), CD45 positive cells (red), and CD3 positive cells (green). (D) DAPI overview image of selected tissue slice for 2D MACSima™ imaging. (E) Magnified merged six color multiparameter MICS image with CD45 (green), CD326 (cyan), FOLR1 (purple), Collagen III (red), Collagen IV (red), and CD31 (yellow). (F–L) Single staining MICS images (white) of DAPI (F), CD45 (G), CD326 (H), FOLR1 (I), Collagen III (J), Collagen IV (K), and CD31 (L) (gray) (see “Antibodies”). Scale bars: (A–F) 1 mm; (E) 250 μm; (F–L) 500 μm.

Article Snippet: Figure 7 3D light sheet and 2D multi-cyclic imaging data comparison (Mouse Glioblastoma) (A) Imaris 3D surface rendering of autofluorescence (cyan) and glioblastoma target cells stained with anti-GFP-Alexa Fluor 647 nanobody (red). (B) Imaris 3D surface rendering of autofluorescence (cyan) and glioblastoma target cells stained with anti-GFP-Alexa Fluor 647 nanobody (red) with target plane in yellow. (C) Optical section of target plane of interest. (D) Fluorescence image of physical cryosection. (E) MICS image of section shown in D. (F) MICS image indicating anti-GFP-Alexa Fluor 647 nanobody (red) staining. (G) Magnified merged four color multiparameter MICS image with anti-EGFR (magenta), anti-GFAP (green), anti-NeuN (blue), anti-CD146 (yellow). (H–P) Nine exemplary MICS images with merges of anti-GFP-Alexa Fluor 647 nanobody staining (red) and antibody-conjugates against EGFR (H), Neurofilament (I), Nestin (J), GFAP (K), CD44 (L), CD146 (M), NeuN (N), EphA2 (O) and GLAST (P) (gray) (see “Antibodies”).

Techniques: Imaging, Comparison, Selection, Staining

Journal: STAR Protocols

Article Title: Protocol for 3D-guided sectioning and deep cell phenotyping via light sheet imaging and 2D spatial multiplexing

doi: 10.1016/j.xpro.2025.104296

Figure Lengend Snippet: Target sectioning – Transition from 3D light sheet to 2D multi-cyclic imaging Sample rehydration in descending ethanol series and PBS (100%, 90%, 70%, 50%, 30%, PBS and PBS) and cryoprotection with 30% sucrose solution (Step 30). Angle correction through angled agarose blocks and embedding in optimal cutting compound (Step 33). Snap freezing with isopentane and liquid nitrogen (Step 34). Iterative feedback loop to verify simulated cutting path with cryosectioning in 10 μm increments (Step 35), navigation through anatomical landmarks and 3D-IF fluorescence signature with stereo/fluorescence microscopy (Step 36) and comparison of optical physical sections versus theoretical optical sections (Step 37). This process is repeated until target plane is reached (feedback loop, Step 35–37). Scale bars: (Verification) 500 µm.

Article Snippet: Figure 7 3D light sheet and 2D multi-cyclic imaging data comparison (Mouse Glioblastoma) (A) Imaris 3D surface rendering of autofluorescence (cyan) and glioblastoma target cells stained with anti-GFP-Alexa Fluor 647 nanobody (red). (B) Imaris 3D surface rendering of autofluorescence (cyan) and glioblastoma target cells stained with anti-GFP-Alexa Fluor 647 nanobody (red) with target plane in yellow. (C) Optical section of target plane of interest. (D) Fluorescence image of physical cryosection. (E) MICS image of section shown in D. (F) MICS image indicating anti-GFP-Alexa Fluor 647 nanobody (red) staining. (G) Magnified merged four color multiparameter MICS image with anti-EGFR (magenta), anti-GFAP (green), anti-NeuN (blue), anti-CD146 (yellow). (H–P) Nine exemplary MICS images with merges of anti-GFP-Alexa Fluor 647 nanobody staining (red) and antibody-conjugates against EGFR (H), Neurofilament (I), Nestin (J), GFAP (K), CD44 (L), CD146 (M), NeuN (N), EphA2 (O) and GLAST (P) (gray) (see “Antibodies”).

Techniques: Imaging, Fluorescence, Microscopy, Comparison

Journal: Scientific Reports

Article Title: The proteome study of germinated Puccinia triticina urediniospores reveals a novel effector protein required for virulence

doi: 10.1038/s41598-026-44996-2

Figure Lengend Snippet: 2-DE pattern (the master gel from nine gels) of germinated Pt race-1 urediniospores on 0.5% agarose for 24 h at 20 °C. The image was created by Proteomescan software. Gel dimensions: 24 × 20 cm. Proteins were separated with a pH 4–7 gradient in the 1st dimension, and on a 10–20% gradient SDS-PAGE in the 2nd dimension.

Article Snippet: Gels were stained with colloidal coomassie brilliant blue (CBB) and digitalized by Syngene Proteomescan Pro 2D Gel Imaging Systems at 800 dpi, and Dymension (Syngene) was used for image analysis.

Techniques: Software, SDS Page

Journal: BMC Musculoskeletal Disorders

Article Title: Virtual 3D landmark palpation in clubfoot: feasibility of an innovative standardized morphometric protocol. A preliminary study

doi: 10.1186/s12891-026-09646-8

Figure Lengend Snippet: Acquisition of the 3D models. A Museum specimen of clubfoot. B 2D CT images imported into Amira ® . C Multibody segmentation of foot bones

Article Snippet: B 2D CT images imported into Amira ® .

Techniques: